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NONLINEAR GATED EXPERTS FOR TIME SERIES: DISCOVERING REGIMES AND AVOIDING OVERFITTING

https://doi.org/10.1142/s0129065795000251

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/0-387-27255-0_9openalex-snapshot

Generalized Linear Models

inferredcites →https://doi.org/10.1016/0304-4076(90)90093-9openalex-snapshot

Analysis of time series subject to changes in regime

inferredcites →https://doi.org/10.1016/0304-4076(92)90064-xopenalex-snapshot

ARCH modeling in finance

inferredcites →https://doi.org/10.1016/0893-6080(95)00014-3openalex-snapshot

Convergence results for the EM approach to mixtures of experts architectures

inferredcites →https://doi.org/10.1016/b978-1-4832-1448-1.50036-6openalex-snapshot

UNSUPERVISED DISCOVERY OF SPEECH SEGMENTS USING RECURRENT NETWORKS

inferredcites →https://doi.org/10.1093/oso/9780198774310.003.0001openalex-snapshot

Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation

inferredcites →https://doi.org/10.1098/rsta.1894.0003openalex-snapshot

III. Contributions to the mathematical theory of evolution

inferredcites →https://doi.org/10.1103/physrevlett.65.945openalex-snapshot

Statistical mechanics and phase transitions in clustering

inferredcites →https://doi.org/10.1109/5.18626openalex-snapshot

A tutorial on hidden Markov models and selected applications in speech recognition

inferredcites →https://doi.org/10.1109/5.58326openalex-snapshot

Networks for approximation and learning

inferredcites →https://doi.org/10.1109/72.471372openalex-snapshot

Neural modeling for time series: A statistical stepwise method for weight elimination

inferredcites →https://doi.org/10.1109/icassp.1988.196495openalex-snapshot

Hidden Markov models: a guided tour

inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot

Maximum Likelihood from Incomplete Data Via the EM Algorithm

inferredcites →https://doi.org/10.1111/j.2517-6161.1980.tb01126.xopenalex-snapshot

Threshold Autoregression, Limit Cycles and Cyclical Data

inferredcites →https://doi.org/10.1137/1026034openalex-snapshot

Mixture Densities, Maximum Likelihood and the EM Algorithm

inferredcites →https://doi.org/10.1142/s0129065790000102openalex-snapshot

PREDICTING THE FUTURE: A CONNECTIONIST APPROACH

inferredcites →https://doi.org/10.1142/s0129065795000093openalex-snapshot

PREDICTING CONDITIONAL PROBABILITY DISTRIBUTIONS: A CONNECTIONIST APPROACH

inferredcites →https://doi.org/10.1162/neco.1994.6.2.181openalex-snapshot

Hierarchical Mixtures of Experts and the EM Algorithm

inferredcites →https://doi.org/10.1162/neco.1995.7.5.867openalex-snapshot

Methods For Combining Experts' Probability Assessments

inferredcites →https://doi.org/10.1162/neco.1996.8.2.340openalex-snapshot

Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics

inferredcites →https://doi.org/10.1214/aos/1176347963openalex-snapshot

Multivariate Adaptive Regression Splines

inferredcites →https://doi.org/10.21236/ada451363openalex-snapshot

Predictions with Confidence Intervals (Local Error Bars)

inferredcites →https://doi.org/10.2307/1060764openalex-snapshot

Modelling Nonlinear Economic Relationships

inferredcites →https://doi.org/10.2307/2076916openalex-snapshot

Time Series Analysis.

inferredcites →https://doi.org/10.2307/2529696openalex-snapshot

Distributions in Statistics: Continuous Multivariate Distributions.

inferredcites →https://doi.org/10.3386/w4643openalex-snapshot

Measuring Business Cycles: A Modern Perspective

inferredcites →https://doi.org/10.5860/choice.27-5158openalex-snapshot

Numerical recipes in Pascal: the art of scientific computing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.1504openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.2118916openalex-extracted

Nonlinear Volatility Models in Economics: Smooth Transition and Neural Network Augmented GARCH, APGARCH, FI-GARCH and FIAGARCH Models

inferred← citeshttps://doi.org/10.2139/ssrn.2118917openalex-extracted

Markov Switching Artificial Neural Networks and Volatility Modeling with an Application to a Turkish Stock Index

inferred← citeshttps://doi.org/10.1002/1099-131x(200007)19:4<375::aid-for779>3.0.co;2-uopenalex-snapshot

Predicting daily probability distributions of S&P500 returns

inferred← citeshttps://doi.org/10.1002/cjs.5540330108openalex-snapshot

Modeling nonlinear time series with local mixtures of generalized linear models

inferred← citeshttps://doi.org/10.1002/cpe.3583openalex-snapshot

Trust‐based security‐level evaluation method for dynamic service‐oriented environments

inferred← citeshttps://doi.org/10.1002/we.263openalex-snapshot

Using temperature and state transitions to forecast wind speed

inferred← citeshttps://doi.org/10.1007/0-387-25465-x_46openalex-snapshot

Decomposition Methodology for Knowledge Discovery and Data Mining

inferred← citeshttps://doi.org/10.1007/11599128_2openalex-snapshot

A Multi-agent System for Protein Secondary Structure Prediction

inferred← citeshttps://doi.org/10.1007/11760023_111openalex-snapshot

A Regularized Minimum Cross-Entropy Algorithm on Mixtures of Experts for Time Series Prediction

inferred← citeshttps://doi.org/10.1007/3-540-44668-0_31openalex-snapshot

Voting-Merging: An Ensemble Method for Clustering

inferred← citeshttps://doi.org/10.1007/3-540-44989-2_71openalex-snapshot

Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling

inferred← citeshttps://doi.org/10.1007/3-540-45153-6_23openalex-snapshot

The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction

inferred← citeshttps://doi.org/10.1007/3-540-46084-5_192openalex-snapshot

Mixtures of Autoregressive Models for Financial Risk Analysis

inferred← citeshttps://doi.org/10.1007/3-540-61510-5_132openalex-snapshot

Analysis of drifting dynamics with competing predictors

inferred← citeshttps://doi.org/10.1007/3-540-61510-5_25openalex-snapshot

Prediction of mixtures

inferred← citeshttps://doi.org/10.1007/978-0-387-09823-4_51openalex-snapshot

Data Mining using Decomposition Methods

inferred← citeshttps://doi.org/10.1007/978-1-4471-1599-1_4openalex-snapshot

Applications of Vapnik’s Theory for Prediction

inferred← citeshttps://doi.org/10.1007/978-1-4471-1599-1_94openalex-snapshot

Gaussian Processes for Switching Regimes

inferred← citeshttps://doi.org/10.1007/978-1-4615-0835-9_6openalex-snapshot

NXCS: Hybrid Approach to Stock Indexes Forecasting

inferred← citeshttps://doi.org/10.1007/978-1-4615-5625-1_18openalex-snapshot

Modeling Financial Time Series Using State Space Models

inferred← citeshttps://doi.org/10.1007/978-1-4899-7502-7_912-1openalex-snapshot

Anomaly Detection

inferred← citeshttps://doi.org/10.1007/978-1-4899-7687-1_912openalex-snapshot

Active Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-01621-9openalex-snapshot

Brain-Machine Interface Engineering

inferred← citeshttps://doi.org/10.1007/978-3-031-01621-9_3openalex-snapshot

Input–Output BMI Models

inferred← citeshttps://doi.org/10.1007/978-3-319-01857-7_67openalex-snapshot

Decision Making in Security Level Evaluation Process of Service-Based Applications in Future Internet Architecture

inferred← citeshttps://doi.org/10.1007/978-3-319-13650-9_17openalex-snapshot

Wind Power Forecasting Using Dynamic Bayesian Models

inferred← citeshttps://doi.org/10.1007/978-3-540-39925-4_3openalex-snapshot

NXCS Experts for Financial Time Series Forecasting

inferred← citeshttps://doi.org/10.1007/978-3-642-23780-5_43openalex-snapshot

Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss

inferred← citeshttps://doi.org/10.1007/978-3-642-36530-0_8openalex-snapshot

Segmentation of Nonstationary Time Series with Geometric Clustering

inferred← citeshttps://doi.org/10.1007/978-981-15-3238-2_2openalex-snapshot

Different Approaches on Digital Mapping of Soil-Landscape Parameters

inferred← citeshttps://doi.org/10.1007/978-981-15-3238-2_5openalex-snapshot

Prediction Models for Crop Mapping

inferred← citeshttps://doi.org/10.1007/978-981-92-1926-1_37openalex-snapshot

TAPE: Trend-Aware Perturbation Enhancement for Sparse Stepwise Non-stationary Time Series

inferred← citeshttps://doi.org/10.1007/bf02941227openalex-snapshot

Financial forecasting through unsupervised clustering and neural networks

inferred← citeshttps://doi.org/10.1007/bfb0020204openalex-snapshot

Mixtures of experts estimate a posteriori probabilities

inferred← citeshttps://doi.org/10.1007/s004220000144openalex-snapshot

Identification of nonstationary dynamics in physiological recordings

inferred← citeshttps://doi.org/10.1007/s00521-020-05286-8openalex-snapshot

Ensemble echo network with deep architecture for time-series modeling

inferred← citeshttps://doi.org/10.1007/s10044-006-0041-yopenalex-snapshot

Decomposition methodology for classification tasks: a meta decomposer framework

inferred← citeshttps://doi.org/10.1007/s10462-009-9124-7openalex-snapshot

Ensemble-based classifiers

inferred← citeshttps://doi.org/10.1007/s10462-018-9671-xopenalex-snapshot

Detecting anomalies in sequential data augmented with new features

inferred← citeshttps://doi.org/10.1007/s10618-022-00868-7openalex-snapshot

Wisdom of the contexts: active ensemble learning for contextual anomaly detection

inferred← citeshttps://doi.org/10.1007/s10845-005-4367-xopenalex-snapshot

Visualization of Anomalies Using Mixture Models

inferred← citeshttps://doi.org/10.1007/s10994-013-5374-3openalex-snapshot

Supervised clustering of label ranking data using label preference information

inferred← citeshttps://doi.org/10.1007/s11063-017-9679-2openalex-snapshot

Novelty Detection in Time Series Using Self-Organizing Neural Networks: A Comprehensive Evaluation

inferred← citeshttps://doi.org/10.1007/s12237-010-9287-0openalex-snapshot

Transcriptome Profiles: Diagnostic Signature of Dolphin Populations

inferred← citeshttps://doi.org/10.1007/s41060-024-00586-xopenalex-snapshot

Context discovery for anomaly detection

inferred← citeshttps://doi.org/10.1016/b978-0-12-809393-1.00008-8openalex-snapshot

Cognitive Applications and Their Supporting Architecture for Smart Cities

inferred← citeshttps://doi.org/10.1016/j.artint.2015.09.010openalex-snapshot

Semi-supervised combination of experts for aerosol optical depth estimation

inferred← citeshttps://doi.org/10.1016/j.bdr.2019.04.001openalex-snapshot

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data

inferred← citeshttps://doi.org/10.1016/j.coastaleng.2025.104813openalex-snapshot

A mixture of experts approach to sandy shoreline modelling in storm dominated systems

inferred← citeshttps://doi.org/10.1016/j.csda.2006.09.032openalex-snapshot

Modelling nonlinear count time series with local mixtures of Poisson autoregressions

inferred← citeshttps://doi.org/10.1016/j.csda.2014.09.011openalex-snapshot

General framework and model building in the class of Hidden Mixture Transition Distribution models

inferred← citeshttps://doi.org/10.1016/j.dsp.2015.02.001openalex-snapshot

Bayesian changepoint and time-varying parameter learning in regime switching volatility models

inferred← citeshttps://doi.org/10.1016/j.eswa.2010.12.036openalex-snapshot

Efficiency of local models ensembles for time series prediction

inferred← citeshttps://doi.org/10.1016/j.eswa.2015.01.026openalex-snapshot

Time series forecasting based on wavelet filtering

inferred← citeshttps://doi.org/10.1016/j.inffus.2014.02.006openalex-snapshot

Mixture of feature specified experts

inferred← citeshttps://doi.org/10.1016/j.ins.2003.03.023openalex-snapshot

A hybrid genetic-neural architecture for stock indexes forecasting

inferred← citeshttps://doi.org/10.1016/j.ins.2007.01.009openalex-snapshot

Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification

inferred← citeshttps://doi.org/10.1016/j.ins.2007.01.016openalex-snapshot

Decision-tree instance-space decomposition with grouped gain-ratio

inferred← citeshttps://doi.org/10.1016/j.jclepro.2021.128358openalex-snapshot

Sulfur dioxide emissions in Portugal: Prediction, estimation and air quality regulation using machine learning

inferred← citeshttps://doi.org/10.1016/j.neucom.2007.02.010openalex-snapshot

An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification

inferred← citeshttps://doi.org/10.1016/j.neucom.2007.12.022openalex-snapshot

Estimating the number of components in a mixture of multilayer perceptrons

inferred← citeshttps://doi.org/10.1016/j.neucom.2015.12.034openalex-snapshot

A new hybrid quadratic regression and cascade forward backpropagation neural network

inferred← citeshttps://doi.org/10.1016/j.neunet.2005.06.003openalex-snapshot

A comparative study of autoregressive neural network hybrids

inferred← citeshttps://doi.org/10.1016/j.neunet.2006.02.007openalex-snapshot

Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model

inferred← citeshttps://doi.org/10.1016/j.neunet.2006.05.019openalex-snapshot

A descriptive method to evaluate the number of regimes in a switching autoregressive model

inferred← citeshttps://doi.org/10.1016/j.nima.2009.04.021openalex-snapshot

Effect of signal noise on the learning capability of an artificial neural network

inferred← citeshttps://doi.org/10.1016/j.patrec.2005.12.002openalex-snapshot

A regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction and curve detection

inferred← citeshttps://doi.org/10.1016/j.spl.2004.11.013openalex-snapshot

Ergodicity and existence of moments for local mixtures of linear autoregressions

inferred← citeshttps://doi.org/10.1016/s0098-1354(01)00665-2openalex-snapshot

Knowledge based modular networks for process modelling and control

inferred← citeshttps://doi.org/10.1016/s0167-2789(97)82003-9openalex-snapshot

Recurrence plots revisited

inferred← citeshttps://doi.org/10.1016/s0167-8191(02)00078-9openalex-snapshot

A scalable parallel algorithm for training a hierarchical mixture of neural experts

inferred← citeshttps://doi.org/10.1016/s0921-8890(01)00142-7openalex-snapshot

Symbolic structures in numeric reinforcement for learning optimum robot trajectory

inferred← citeshttps://doi.org/10.1016/s0925-2312(02)00577-5openalex-snapshot

Support vector machines experts for time series forecasting

inferred← citeshttps://doi.org/10.1016/s1364-6613(99)01327-3openalex-snapshot

Is imitation learning the route to humanoid robots?

inferred← citeshttps://doi.org/10.1016/s1570-7946(00)80043-7openalex-snapshot

Knowledge based modular networks for process modelling and control

inferred← citeshttps://doi.org/10.1016/s2212-5671(16)30183-6openalex-snapshot

Markov Switching Artificial Neural Networks for Modelling and Forecasting Volatility: An Application to Gold Market

inferred← citeshttps://doi.org/10.1023/a:1016355116053openalex-snapshot

Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm

inferred← citeshttps://doi.org/10.1023/a:1022267720606openalex-snapshot

Computational Tools for the Analysis of Market Risk

inferred← citeshttps://doi.org/10.1038/16873openalex-snapshot

Cluster-weighted modelling for time-series analysis

inferred← citeshttps://doi.org/10.1049/iet-cvi.2016.0138openalex-snapshot

Context‐based classification via mixture of hidden Markov model experts with applications in landmine detection

inferred← citeshttps://doi.org/10.1051/jp42002007openalex-snapshot

Les perceptrons multicouches : de la régression non-linéaire aux problèmes inverses

inferred← citeshttps://doi.org/10.1080/00401706.2022.2146755openalex-snapshot

Dynamic Mixture of Experts Models for Online Prediction

inferred← citeshttps://doi.org/10.1080/07474938.2010.481987openalex-snapshot

Time Series Mixtures of GeneralizedtExperts: ML Estimation and an Application to Stock Return Density Forecasting

inferred← citeshttps://doi.org/10.1080/10106049.2016.1240721openalex-snapshot

Performance analysis of different predictive models for crop classification across an aridic to ustic area of Indian states

inferred← citeshttps://doi.org/10.1080/13518470110071155openalex-snapshot

Dynamic local models for segmentation and prediction of financial time series

inferred← citeshttps://doi.org/10.1098/rstb.2002.1258openalex-snapshot

Computational approaches to motor learning by imitation

inferred← citeshttps://doi.org/10.1109/34.817407openalex-snapshot

Data mining for features using scale-sensitive gated experts

inferred← citeshttps://doi.org/10.1109/5.726788openalex-snapshot

Deterministic annealing for clustering, compression, classification, regression, and related optimization problems

inferred← citeshttps://doi.org/10.1109/59.761878openalex-snapshot

Experience with FNN models for medium term power demand predictions

inferred← citeshttps://doi.org/10.1109/59.918299openalex-snapshot

Discovering price-load relationships in California's electricity market

inferred← citeshttps://doi.org/10.1109/72.655043openalex-snapshot

A bootstrap evaluation of the effect of data splitting on financial time series

inferred← citeshttps://doi.org/10.1109/72.737501openalex-snapshot

Structurally adaptive modular networks for nonstationary environments

inferred← citeshttps://doi.org/10.1109/72.750569openalex-snapshot

A comparison between neural-network forecasting techniques-case study: river flow forecasting

inferred← citeshttps://doi.org/10.1109/72.935090openalex-snapshot

Multiresolution forecasting for futures trading using wavelet decompositions

inferred← citeshttps://doi.org/10.1109/78.650107openalex-snapshot

Mixture of experts regression modeling by deterministic annealing

inferred← citeshttps://doi.org/10.1109/78.726819openalex-snapshot

Competitive principal component analysis for locally stationary time series

inferred← citeshttps://doi.org/10.1109/access.2024.3357734openalex-snapshot

Dynamic Incremental Network for Estimating Chinese Musical Vogue Patterns of a Given Artist Over Time

inferred← citeshttps://doi.org/10.1109/asspcc.2000.882446openalex-snapshot

Adaptive classification

inferred← citeshttps://doi.org/10.1109/asspcc.2000.882483openalex-snapshot

A fast on-line generalized eigendecomposition algorithm for time series segmentation

inferred← citeshttps://doi.org/10.1109/cec.1999.782581openalex-snapshot

Combining rules learnt using genetic algorithms for financial forecasting

inferred← citeshttps://doi.org/10.1109/cifer.1997.618944openalex-snapshot

Taking time seriously: hidden Markov experts applied to financial engineering

inferred← citeshttps://doi.org/10.1109/cifer.1999.771123openalex-snapshot

Modelling financial time series with switching state space models

inferred← citeshttps://doi.org/10.1109/cifer.2003.1196273openalex-snapshot

Hypothesis testing in mixtures-of-experts of generalized linear time series

inferred← citeshttps://doi.org/10.1109/codit49905.2020.9263962openalex-snapshot

Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection

inferred← citeshttps://doi.org/10.1109/embc46164.2021.9629885openalex-snapshot

Classifying Unimanual and Bimanual Upper Extremity Tasks in Individuals Post-Stroke

inferred← citeshttps://doi.org/10.1109/fskd.2007.590openalex-snapshot

Time Series Prediction Based on Support Vector Machines Experts and Genetic Algorithm

inferred← citeshttps://doi.org/10.1109/fuzzy.2004.1375773openalex-snapshot

Using gated experts in fault diagnosis and prognosis

inferred← citeshttps://doi.org/10.1109/fuzzy.2006.1681883openalex-snapshot

Wavelet Neural Networks for Fault Diagnosis and Prognosis

inferred← citeshttps://doi.org/10.1109/grc.2005.1547369openalex-snapshot

Decomposition methodology for classification tasks

inferred← citeshttps://doi.org/10.1109/hicss.1997.663213openalex-snapshot

Regime signaling techniques for non-stationary time series forecasting

inferred← citeshttps://doi.org/10.1109/hicss.2005.456openalex-snapshot

Nonlinearity or Structural Break? - Data Mining in Evolving Financial Data Sets from a Bayesian Model Combination Perspective

inferred← citeshttps://doi.org/10.1109/icassp.1997.595505openalex-snapshot

Temporal self-organization through competitive prediction

inferred← citeshttps://doi.org/10.1109/icdim.2011.6093338openalex-snapshot

A heuristic method for forecasting chaotic time series based on economic variables

inferred← citeshttps://doi.org/10.1109/icdm.2009.145openalex-snapshot

Regression Learning Vector Quantization

inferred← citeshttps://doi.org/10.1109/icdmw58026.2022.00157openalex-snapshot

Dynamic Combination of Heterogeneous Models for Hierarchical Time Series

inferred← citeshttps://doi.org/10.1109/icmla.2012.186openalex-snapshot

Exploiting Representational Diversity for Time Series Classification

inferred← citeshttps://doi.org/10.1109/icmla.2016.0186openalex-snapshot

Error Detection of Ocean Depth Series Data with Area Partitioning and Using Sliding Window

inferred← citeshttps://doi.org/10.1109/icnn.1996.549188openalex-snapshot

Improved time series segmentation using gated experts with simulated annealing

inferred← citeshttps://doi.org/10.1109/icnn.1997.614215openalex-snapshot

Markov gated experts for time series analysis: beyond regression

inferred← citeshttps://doi.org/10.1109/icnnsp.2003.1279393openalex-snapshot

Time-line hidden Markov experts for time series prediction

inferred← citeshttps://doi.org/10.1109/iconip.2002.1202155openalex-snapshot

Classification of time series data: a synergistic neural networks approach

inferred← citeshttps://doi.org/10.1109/icsmc.2000.884382openalex-snapshot

Classification of sleep-waking states using modular neural networks

inferred← citeshttps://doi.org/10.1109/icsmc.2002.1168002openalex-snapshot

Soft modeling of III-defined systems

inferred← citeshttps://doi.org/10.1109/icsmc.2003.1245713openalex-snapshot

Hybrid genetic training of gated mixtures of experts for nonlinear time series forecasting

inferred← citeshttps://doi.org/10.1109/igarss.2012.6352589openalex-snapshot

Mixture of HMM Experts with applications to landmine detection

inferred← citeshttps://doi.org/10.1109/ijcnn.1998.682303openalex-snapshot

A practical gated expert network

inferred← citeshttps://doi.org/10.1109/ijcnn.1998.687224openalex-snapshot

Modeling time dependencies in the mixture of experts

inferred← citeshttps://doi.org/10.1109/ijcnn.2000.857824openalex-snapshot

Overlapped multi-neural-network: a case study

inferred← citeshttps://doi.org/10.1109/ijcnn.2001.939108openalex-snapshot

Neural network ensembles and their application to traffic flow prediction in telecommunications networks

inferred← citeshttps://doi.org/10.1109/ijcnn.2003.1223293openalex-snapshot

Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP

inferred← citeshttps://doi.org/10.1109/ijcnn.2005.1556017openalex-snapshot

Mixture of heterogeneous experts applied to time series: a comparative study

inferred← citeshttps://doi.org/10.1109/ijcnn.2005.1556438openalex-snapshot

Are ARIMA neural network hybrids better than single models?

inferred← citeshttps://doi.org/10.1109/ijcnn.2006.1716612openalex-snapshot

Recurrent Neural Network Based Gating for Natural Gas Load Prediction System

inferred← citeshttps://doi.org/10.1109/ijcnn.2006.1716810openalex-snapshot

Learning hydrologic flow separation algorithm and local ANN committee modeling

inferred← citeshttps://doi.org/10.1109/ijcnn.2008.4633864openalex-snapshot

Ensemble learning with generalization performance measurement and negative correlation

inferred← citeshttps://doi.org/10.1109/iros.2001.976238openalex-snapshot

Detecting regime changes with a mobile robot using multiple models

inferred← citeshttps://doi.org/10.1109/iscas.2003.1204962openalex-snapshot

Reconstruction of piecewise chaotic dynamics using a multiple model approach

inferred← citeshttps://doi.org/10.1109/isic.2002.1157814openalex-snapshot

A novel GA multiple model prediction approach with application to system identification driven by chaotic signals

inferred← citeshttps://doi.org/10.1109/itsc.2011.6083118openalex-snapshot

Traffic speed forecasting by mixture of experts

inferred← citeshttps://doi.org/10.1109/lsp.2006.874462openalex-snapshot

Linear Dynamic Models With Mixture of Experts Architecture for Recognition of Speech Under Additive Noise Conditions

inferred← citeshttps://doi.org/10.1109/melcon.1996.550969openalex-snapshot

Modeling, learning, and meaning: extracting regimes from time series

inferred← citeshttps://doi.org/10.1109/mper.2001.4311388openalex-snapshot

Discovering Price-Load Relationships in California's Electricity Market

inferred← citeshttps://doi.org/10.1109/nnsp.1997.622413openalex-snapshot

Segmentation and identification of drifting dynamical systems

inferred← citeshttps://doi.org/10.1109/nnsp.1997.622442openalex-snapshot

Application of neural networks to the problem of forecasting the flow of the River Nile

inferred← citeshttps://doi.org/10.1109/nnsp.1999.788138openalex-snapshot

Hidden Markov mixtures of experts for prediction of non-stationary dynamics

inferred← citeshttps://doi.org/10.1109/sbrn.2002.1181463openalex-snapshot

Mixture of experts applied to nonlinear dynamic systems identification: a comparative study

inferred← citeshttps://doi.org/10.1109/sbrn.2010.30openalex-snapshot

Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms

inferred← citeshttps://doi.org/10.1109/socpar.2011.6089129openalex-snapshot

A robust moving shadow detection algorithm based on semi-supervised hierarchical mixture of MLP-experts

inferred← citeshttps://doi.org/10.1109/tcsi.2004.826216openalex-snapshot

Reconstruction of Piecewise Chaotic Dynamic Using a Genetic Algorithm Multiple Model Approach

inferred← citeshttps://doi.org/10.1109/tcyb.2019.2909806openalex-snapshot

A Mixture-of-Experts Prediction Framework for Evolutionary Dynamic Multiobjective Optimization

inferred← citeshttps://doi.org/10.1109/tgrs.2003.811690openalex-snapshot

A multiple-model prediction approach for sea clutter modeling

inferred← citeshttps://doi.org/10.1109/tnn.2004.839356openalex-snapshot

Mixtures-of-Experts of Autoregressive Time Series: Asymptotic Normality and Model Specification

inferred← citeshttps://doi.org/10.1109/tnnls.2012.2200299openalex-snapshot

Twenty Years of Mixture of Experts

inferred← citeshttps://doi.org/10.1109/tnnls.2012.2219318openalex-snapshot

Real AdaBoost With Gate Controlled Fusion

inferred← citeshttps://doi.org/10.1109/tnnls.2012.2223232openalex-snapshot

Feature Combiners With Gate-Generated Weights for Classification

inferred← citeshttps://doi.org/10.1109/tpwrs.2004.840412openalex-snapshot

Modeling and Forecasting Electricity Prices with Input/Output Hidden Markov Models

inferred← citeshttps://doi.org/10.1111/j.1365-2966.2011.19416.xopenalex-snapshot

Astroinformatics of galaxies and quasars: a new general method for photometric redshifts estimation

inferred← citeshttps://doi.org/10.1111/j.1467-8667.2007.00488.xopenalex-snapshot

Spatio‐Temporal Short‐Term Urban Traffic Volume Forecasting Using Genetically Optimized Modular Networks

inferred← citeshttps://doi.org/10.1137/1.9781611972825.9openalex-snapshot

Supervised Clustering of Label Ranking Data

inferred← citeshttps://doi.org/10.1137/1.9781611974010.80openalex-snapshot

A Generalized Mixture Framework for Multi-label Classification

inferred← citeshttps://doi.org/10.1142/s0129065797000392openalex-snapshot

Modeling Volatility Using State Space Models

inferred← citeshttps://doi.org/10.1142/s0129065797000410openalex-snapshot

Nonlinear Trading Models Through Sharpe Ratio Maximization

inferred← citeshttps://doi.org/10.1142/s0217590820500058openalex-snapshot

FORECASTING WAGES INEQUALITY IN RESPONSE OF TRADE OPENNESS IN PAKISTAN: AN ARTIFICIAL NEURAL NETWORK APPROACH

inferred← citeshttps://doi.org/10.1142/s0218001402001861openalex-snapshot

STOCK MARKET PREDICTION BY A MIXTURE OF GENETIC-NEURAL EXPERTS

inferred← citeshttps://doi.org/10.1142/s0218127406015891openalex-snapshot

COMPUTATIONAL INTELLIGENCE METHODS FOR FINANCIAL TIME SERIES MODELING

inferred← citeshttps://doi.org/10.1142/s0218213008004102openalex-snapshot

DISAMBIGUATION OF GREEK POLYSEMOUS WORDS USING HIERARCHICAL PROBABILISTIC NETWORKS AND A CHI-SQUARE FEATURE SELECTION STRATEGY

inferred← citeshttps://doi.org/10.1142/smpaiopenalex-snapshot

Series in Machine Perception and Artificial Intelligence

inferred← citeshttps://doi.org/10.1145/1141277.1141360openalex-snapshot

SF-HME system

inferred← citeshttps://doi.org/10.1145/1541880.1541882openalex-snapshot

Anomaly detection

inferred← citeshttps://doi.org/10.1145/2983323.2983660openalex-snapshot

Robust Contextual Outlier Detection

inferred← citeshttps://doi.org/10.1145/3310205openalex-snapshot

Data Cleaning

inferred← citeshttps://doi.org/10.1145/3310205.3310206openalex-snapshot

Preface

inferred← citeshttps://doi.org/10.1145/3310205.3310207openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1145/3310205.3310208openalex-snapshot

Outlier detection

inferred← citeshttps://doi.org/10.1145/3310205.3310209openalex-snapshot

Data deduplication

inferred← citeshttps://doi.org/10.1145/3310205.3310210openalex-snapshot

Data transformation

inferred← citeshttps://doi.org/10.1145/3310205.3310211openalex-snapshot

Data quality rule definition and discovery

inferred← citeshttps://doi.org/10.1145/3310205.3310212openalex-snapshot

Rule-based data cleaning

inferred← citeshttps://doi.org/10.1145/3310205.3310213openalex-snapshot

Machine learning and probabilistic data cleaning

inferred← citeshttps://doi.org/10.1145/3310205.3310214openalex-snapshot

Conclusion and future thoughts

inferred← citeshttps://doi.org/10.1145/3310205.3310215openalex-snapshot

References

inferred← citeshttps://doi.org/10.1145/336595.337056openalex-snapshot

Reward maximization in a non-stationary mobile robot environment

inferred← citeshttps://doi.org/10.1155/asp/2006/17195openalex-snapshot

MASSP3: A System for Predicting Protein Secondary Structure

inferred← citeshttps://doi.org/10.1155/ijmms/2006/19423openalex-snapshot

Modeling nonlinearities with mixtures‐of‐experts of time series models

inferred← citeshttps://doi.org/10.1175/1520-0426(2002)019<0457:alwrua>2.0.co;2openalex-snapshot

Atmospheric Liquid Water Retrieval Using a Gated Experts Neural Network

inferred← citeshttps://doi.org/10.1198/016214504000001691openalex-snapshot

Local Global Neural Networks

inferred← citeshttps://doi.org/10.1198/016214506000000456openalex-snapshot

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center

inferred← citeshttps://doi.org/10.1252/kakoronbunshu.33.346openalex-snapshot

Coordination of Controllers Based on Multiple Local Models

inferred← citeshttps://doi.org/10.13140/2.1.1136.2086openalex-snapshot

Data-Rich Astronomy: Mining Synoptic Sky Surveys

inferred← citeshttps://doi.org/10.1541/ieejeiss1987.121.12_1949openalex-snapshot

Overlapped Multi-Neural-Network and Its Training Algorithm

inferred← citeshttps://doi.org/10.1590/0102-77863540067openalex-snapshot

Preenchimento de Falhas e Espacialização de Dados Pluviométricos: Desafios e Perspectivas

inferred← citeshttps://doi.org/10.1623/hysj.52.3.491openalex-snapshot

Baseflow separation techniques for modular artificial neural network modelling in flow forecasting

inferred← citeshttps://doi.org/10.17660/actahortic.2017.1154.11openalex-snapshot

A dynamic artificial neural network for tomato yield prediction

inferred← citeshttps://doi.org/10.21236/ada459831openalex-snapshot

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime-Switching Space-Time (RST) Method

inferred← citeshttps://doi.org/10.2172/968212openalex-snapshot

Wind power forecasting : state-of-the-art 2009.

inferred← citeshttps://doi.org/10.2200/s00053ed1v01y200710bme017openalex-snapshot

Neural Decoding Using Generative BMI Models

inferred← citeshttps://doi.org/10.2514/1.i010587openalex-snapshot

Telemetry Fault-Detection Algorithms: Applications for Spacecraft Monitoring and Space Environment Sensing

inferred← citeshttps://doi.org/10.3233/ida-205302openalex-snapshot

Ensemble machine learning methods for spatio-temporal data analysis of plant and ratoon sugarcane

inferred← citeshttps://doi.org/10.3233/jcs-2009-0377openalex-snapshot

Applying effective feature selection techniques with hierarchical mixtures of experts for spam classification

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