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Statistical Feature Construction for Forecasting Accuracy Increase and Its Applications in Neural Network Based Analysis

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

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Finite Mixture Models
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Information Theory and an Extension of the Maximum Likelihood Principle
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Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics
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Improved prediction of daily pan evaporation using Deep-LSTM model
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Deep Gaussian mixture models
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Finite mixture of regression models for censored data based on scale mixtures of normal distributions
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Automatic Parameter Selection by Minimizing Estimated Error
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A survey on feature selection methods
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Feature construction for fraudulent credit card cash-out detection
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Feature selection using Joint Mutual Information Maximisation
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A new feature selection method to improve the document clustering using particle swarm optimization algorithm
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Feature selection in machine learning: A new perspective
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Time series forecasting of petroleum production using deep LSTM recurrent networks
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An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation
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Noise-enhanced convolutional neural networks
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A Survey on semi-supervised feature selection methods
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Bayesian estimation of generalized Gamma mixture model based on variational EM algorithm
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Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere
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Learning representations by back-propagating errors
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Predicting disruptive instabilities in controlled fusion plasmas through deep learning
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Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems
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Modeling of transport phenomena in tokamak plasmas with neural networks
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On implementation of EM-type algorithms in the stochastic models for a matrix computing on GPU
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On an interface of the online system for a stochastic analysis of the varied information flows
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Distribution of the Estimators for Autoregressive Time Series with a Unit Root
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The ITER design
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Machine learning for modeling, diagnostics, and control of non-equilibrium plasmas
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Interpretation of machine-learning-based disruption models for plasma control
inferredcites →https://doi.org/10.1088/1361-6587/ab1117openalex-snapshot
Evolution of statistical properties of microturbulence during transient process under electron cyclotron resonance heating of the L-2M stellarator plasma
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Neural-network-based semi-empirical turbulent particle transport modelling founded on gyrokinetic analyses of JT-60U plasmas
inferredcites →https://doi.org/10.1088/1741-4326/ac3296openalex-snapshot
A dimensionality reduction algorithm for mapping tokamak operational regimes using a variational autoencoder (VAE) neural network
inferredcites →https://doi.org/10.1109/cesys.2018.8723980openalex-snapshot
Correlation Based Feature Selection Algorithm for Machine Learning
inferredcites →https://doi.org/10.1109/cvpr.2015.7298932openalex-snapshot
Deep visual-semantic alignments for generating image descriptions
inferredcites →https://doi.org/10.1109/icdm.2017.137openalex-snapshot
Informing the Use of Hyperparameter Optimization Through Metalearning
inferredcites →https://doi.org/10.1109/icumt.2015.7382430openalex-snapshot
Online system for the construction of structural models of information flows
inferredcites →https://doi.org/10.1109/jsyst.2019.2918678openalex-snapshot
WiFi Fingerprinting Indoor Localization Using Local Feature-Based Deep LSTM
inferredcites →https://doi.org/10.1109/mipro.2015.7160458openalex-snapshot
A review of feature selection methods with applications
inferredcites →https://doi.org/10.1109/mnet.2018.1800104openalex-snapshot
Improving Traffic Forecasting for 5G Core Network Scalability: A Machine Learning Approach
inferredcites →https://doi.org/10.1109/tevc.2015.2504420openalex-snapshot
A Survey on Evolutionary Computation Approaches to Feature Selection
inferredcites →https://doi.org/10.1109/tii.2019.2900295openalex-snapshot
Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks
inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot
LSTM: A Search Space Odyssey
inferredcites →https://doi.org/10.1109/tpwrd.2011.2149547openalex-snapshot
Optimal Feature Selection for Power-Quality Disturbances Classification
inferredcites →https://doi.org/10.1134/s1054661817030117openalex-snapshot
Research support system for stochastic data processing
inferredcites →https://doi.org/10.1134/s1054661818030069openalex-snapshot
Neural Network Forecasting of Precipitation Volumes Using Patterns
inferredcites →https://doi.org/10.1134/s1054661819010115openalex-snapshot
Improved Architecture and Configurations of Feedforward Neural Networks to Increase Forecasting Accuracy for Moments of Finite Normal Mixtures
inferredcites →https://doi.org/10.1134/s1063780x17080049openalex-snapshot
Reaction of turbulence at the edge and in the center of the plasma column to pulsed impurity injection caused by the sputtering of the wall coating in L-2M stellarator
inferredcites →https://doi.org/10.1137/1140089openalex-snapshot
Convergence of Random Sequences with Independent Random Indices II
inferredcites →https://doi.org/10.1145/3136625openalex-snapshot
Feature Selection
inferredcites →https://doi.org/10.1214/aoms/1177703862openalex-snapshot
Identifiability of Finite Mixtures
inferredcites →https://doi.org/10.1214/aoms/1177705155openalex-snapshot
Identifiability of Mixtures
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.14357/19922264160107openalex-snapshot
CONCEPT OF ONLINE SERVICE FOR STOCHASTIC MODELING OF REAL PROCESSES
inferredcites →https://doi.org/10.14357/19922264170105openalex-snapshot
ON SOME MATHEMATICAL AND PROGRAMMING METHODS FOR CONSTRUCTION OF STRUCTURAL MODELS OF INFORMATION FLOWS
inferredcites →https://doi.org/10.14357/19922264200301openalex-snapshot
STATISTICAL ESTIMATION OF DISTRIBUTIONS OF RANDOM COEFFICIENTS IN THE LANGEVIN STOCHASTIC DIFFERENTIAL EQUATION
inferredcites →https://doi.org/10.14357/19922264210309openalex-snapshot
METHOD FOR IMPROVING ACCURACY OF NEURAL NETWORK FORECASTS BASED ON PROBABILITY MIXTURE MODELS AND ITS IMPLEMENTATION AS A DIGITAL SERVICE
inferredcites →https://doi.org/10.21437/interspeech.2014-80openalex-snapshot
Long short-term memory recurrent neural network architectures for large scale acoustic modeling
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3390/math8040604openalex-snapshot
Probability Models and Statistical Tests for Extreme Precipitation Based on Generalized Negative Binomial Distributions
inferredcites →https://doi.org/10.3390/math8091409openalex-snapshot
Modeling Particle Size Distribution in Lunar Regolith via a Central Limit Theorem for Random Sums
inferredcites →https://doi.org/10.3390/math9020146openalex-snapshot
An Information-Theoretic Approach for Multivariate Skew-t Distributions and Applications
inferredcites →https://doi.org/10.3390/s18092892openalex-snapshot
Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network
inferredcites →https://doi.org/10.48550/arxiv.1406.5679openalex-snapshot
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
inferredcites →https://doi.org/10.7148/2013-0569openalex-snapshot
Modelling Of Statistical Fluctuations Of Information Flows By Mixtures Of Gamma Distributions

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