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1、SupervisedLearningwikipediabookContents1Supervisedlearning11.1Overview...............................................11.1.1Bias-variancetradeo?....................................11.1.2Functioncomplexityandamountoftrainingdata.......................21.1.3Dimensionalityoftheinputspace.........
2、......................21.1.4Noiseintheoutputvalues...................................21.1.5Otherfactorstoconsider...................................21.2Howsupervisedlearningalgorithmswork...............................31.2.1Empiricalriskminimization.................................31.2.2Struc
3、turalriskminimization.................................31.3Generativetraining..........................................41.4Generalizationsofsupervisedlearning................................41.5Approachesandalgorithms......................................41.6Applications.......................
4、.......................51.7Generalissues.............................................51.8References...............................................51.9Externallinks.............................................52Statisticalclassi?cation62.1Relationtootherproblems................................
5、......62.2Frequentistprocedures........................................72.3Bayesianprocedures..........................................72.4Binaryandmulticlassclassi?cation..................................72.5Featurevectors............................................72.6Linearclassi?ers......
6、.....................................72.7Algorithms..............................................82.8Evaluation...............................................82.9Applicationdomains..........................................82.10Seealso................................................82.11Refere
7、nces...............................................92.12Externallinks.............................................93Regressionanalysis10iiiCONTENTS3.1History.................................................103.2Regressionmodels...............
