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Financial market forecasting using a two-step kernel learning method for the support vector regression
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-33486-6openalex-snapshot
Innovations in machine learning : theory and applications
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-540-30499-9_198openalex-snapshot
Combined Kernel Function for Support Vector Machine and Learning Method Based on Evolutionary Algorithm
inferredcites →https://doi.org/10.1007/s005210170010openalex-snapshot
Financial Forecasting Using Support Vector Machines
inferredcites →https://doi.org/10.1016/j.cor.2004.03.016openalex-snapshot
Forecasting stock market movement direction with support vector machine
inferredcites →https://doi.org/10.1016/j.neucom.2004.11.022openalex-snapshot
Evolutionary tuning of multiple SVM parameters
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.129openalex-snapshot
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model
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Financial time series forecasting using support vector machines
inferredcites →https://doi.org/10.1023/a:1012450327387openalex-snapshot
Choosing Multiple Parameters for Support Vector Machines
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1109/72.935093openalex-snapshot
Financial time series prediction using least squares support vector machines within the evidence framework
inferredcites →https://doi.org/10.1109/tnn.2003.820556openalex-snapshot
Support vector machine with adaptive parameters in financial time series forecasting
inferredcites →https://doi.org/10.1111/0022-1082.00265openalex-snapshot
Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation
inferredcites →https://doi.org/10.1111/0022-1082.00379openalex-snapshot
Investor Psychology and Asset Pricing
inferredcites →https://doi.org/10.1111/j.1540-6261.1970.tb00518.xopenalex-snapshot
EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*
inferredcites →https://doi.org/10.1111/j.1540-6261.1991.tb04636.xopenalex-snapshot
Efficient Capital Markets: II
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1145/1015330.1015409openalex-snapshot
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inferredcites →https://doi.org/10.1145/1015330.1015424openalex-snapshot
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inferredcites →https://doi.org/10.1145/1143844.1143903openalex-snapshot
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inferredcites →https://doi.org/10.1145/1273496.1273616openalex-snapshot
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Piecewise linear regularized solution paths
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Better Subset Regression Using the Nonnegative Garrote
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Efficient Capital Markets: A Review of Theory and Empirical Work
inferredcites →https://doi.org/10.5555/1005332.1005334openalex-snapshot
Learning the Kernel Matrix with Semi-Definite Programming
inferredcites →https://doi.org/10.5555/299094openalex-snapshot
Advances in kernel methods: support vector learning
inferredcites →https://doi.org/10.5860/choice.37-2272openalex-snapshot
A non-random walk down Wall Street
inferredcites →https://doi.org/10.7551/mitpress/1130.003.0016openalex-snapshot
Fast Training of Support Vector Machines Using Sequential Minimal Optimization
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0089openalex-snapshot
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-319-44781-0_40openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ejor.2009.10.017openalex-snapshot
Synergies of Operations Research and Data Mining
inferred← citeshttps://doi.org/10.1016/j.najef.2019.101027openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.physa.2010.06.015openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/iet-sen.2010.0073openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdm.2010.68openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icica.2014.79openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tla.2017.7827918openalex-snapshot
Research in Financial Time Series Forecasting with SVM: Contributions from Literature
inferred← citeshttps://doi.org/10.1111/eufm.12326openalex-snapshot
Machine learning in finance: A topic modeling approach
inferred← citeshttps://doi.org/10.1142/s0218488518500356openalex-snapshot
A Stock Market Prediction System Based on High-Level Fuzzy Petri Nets
inferred← citeshttps://doi.org/10.1142/s021946782450013xopenalex-snapshot
HM-SMF: An Efficient Strategy Optimization using a Hybrid Machine Learning Model for Stock Market Prediction
inferred← citeshttps://doi.org/10.1145/3577193.3593737openalex-snapshot
Parallel Software for Million-scale Exact Kernel Regression
inferred← citeshttps://doi.org/10.1186/s40854-019-0137-1openalex-snapshot
A statistical learning approach for stock selection in the Chinese stock market
inferred← citeshttps://doi.org/10.1186/s43093-025-00560-4openalex-snapshot
Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms
inferred← citeshttps://doi.org/10.1287/mnsc.2020.3696openalex-snapshot
A Cross-Sectional Machine Learning Approach for Hedge Fund Return Prediction and Selection
inferred← citeshttps://doi.org/10.1504/ijor.2015.069625openalex-snapshot
Financial time series prediction by a hybrid memetic computation-based support vector regression (MA-SVR) method
inferred← citeshttps://doi.org/10.1504/ijor.2015.070143openalex-snapshot
An experimental analysis of forecasting the high frequency data of matured and emerging economies stock index using data mining techniques
inferred← citeshttps://doi.org/10.17706/jcp.14.3.195-209openalex-snapshot
Financial Time Series Forecasting Based on Characterized Candlestick and the Support Vector Classification with Cooperative Coevolution
inferred← citeshttps://doi.org/10.20955/wp.2009.030openalex-snapshot
Does Money Matter in Inflation Forecasting?
inferred← citeshttps://doi.org/10.20965/jaciii.2015.p0407openalex-snapshot
WaveletLp-Norm Support Vector Regression with Feature Selection
inferred← citeshttps://doi.org/10.20965/jaciii.2017.p0989openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/jrfm13060125openalex-snapshot
Realized Measures to Explain Volatility Changes over Time
inferred← citeshttps://doi.org/10.36001/phmconf.2012.v4i1.2098openalex-snapshot
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inferred← citeshttps://doi.org/10.3905/jai.2014.17.2.026openalex-snapshot
Hedge Fund Replication Using Shrinkage Methodologies
inferred← citeshttps://doi.org/10.3934/dsfe.2021020openalex-snapshot
A review of data mining methods in financial markets
inferred← citeshttps://doi.org/10.4038/jnsfsr.v42i2.6989openalex-snapshot
Performances of data mining techniques in forecasting stock index – evidence from India and US
inferred← citeshttps://doi.org/10.4314/mejs.v15i1.7openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1812.00096openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1912.00712openalex-snapshot
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