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Journal Article
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 07/2010, Volume 11, pp. 2079 - 2107
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of generalisation... 
Performance evaluation | Selection bias | Model selection | Bias-variance trade-off | Overfitting | OUT CROSS-VALIDATION | STABILITY | model selection | performance evaluation | CLASSIFICATION | bias-variance trade-off | NETWORKS | PARAMETERS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | selection bias | BOUNDS | COEFFICIENTS | SUPPORT VECTOR MACHINE | VARIANCE | over-fitting | REGULARIZATION | AUTOMATION & CONTROL SYSTEMS
Journal Article
International journal of advanced manufacturing technology, ISSN 1433-3015, 2015, Volume 80, Issue 5-8, pp. 1007 - 1014
Journal Article
Molecular Systems Biology, ISSN 1744-4292, 12/2010, Volume 6, Issue 1, pp. 456 - n/a
Journal Article
Journal of Wildlife Management, ISSN 0022-541X, 2010, Volume 74, Issue 6, pp. 1175 - 1178
Journal Article
Journal of the American Statistical Association, ISSN 1537-274X, 2017, Volume 112, Issue 520, pp. 1587 - 1597
This article develops a nonparametric shrinkage and selection estimator via the measurement error selection likelihood approach recently proposed by Stefanski, Wu, and White... 
Feature selection | Bandwidth selection | Nadaraya-Watson | LASSO | Nonparametric regression | Solution path | NOISE INJECTION | MODELS | SPLINES | SPARSE | STATISTICS & PROBABILITY | SIMULATION-EXTRAPOLATION | Kernels | Measurement | Error analysis | Parameters | Computer simulation | Estimating techniques | Shrinkage | Error correction | Tuning | solution path | nonparametric regression | feature selection | bandwidth selection
Journal Article
Knowledge-based systems, ISSN 0950-7051, 2009, Volume 22, Issue 2, pp. 120 - 127
.... As feature selection is an important step to select more representative data from a given dataset in data mining to improve the final prediction performance, it is unknown that which feature selection method is better... 
Bankruptcy prediction | Feature selection | Data mining | Neural networks | SUPPORT VECTOR MACHINES | CLASSIFICATION | FIRMS | BUSINESS | PARAMETERS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | GENETIC ALGORITHM | NEURAL-NETWORKS | OPTIMIZATION | FINANCIAL RATIOS | BANK FAILURE | Analysis | Bankruptcy
Journal Article
Journal Article