An Experimental and Theoretical Comparison of Model Selection Methods

Keywords

Minimum description lengthGeneralizationVC dimensionMathematicsDimension (graph theory)Sample size determinationProbably approximately correct learningBounded functionPenalty methodModel selectionSelection (genetic algorithm)Function (biology)Simple (philosophy)AlgorithmMinificationComputer scienceMathematical optimizationGeneralization errorArtificial intelligenceStatisticsArtificial neural networkCombinatorics

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Publication Info

Year: 1997
Type: article
Volume: 27
Issue: 1
Pages: 7-50
Citations: 65
Access: Closed

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APA Style

                            
                                
                                    Michael Kearns, 
                                
                                    Yishay Mansour, 
                                
                                    Andrew Y. Ng
                                
                                et al.
                            
                            (1997). 
                            An Experimental and Theoretical Comparison of Model Selection Methods. 
                            Machine Learning
                            , 27
                            (1)
                            , 7-50.
                            https://doi.org/10.1023/a:1007344726582
                        

Identifiers

DOI: 10.1023/a:1007344726582