Supervised Learning.pdf

Supervised Learning.pdf

ID:34563129

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页数:103页

时间:2019-03-08

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1、SupervisedLearningwikipediabookContents1Supervisedlearning11.1Overview...............................................11.1.1Bias-variancetradeoff....................................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.............................................52Statisticalclassification62.1Relationtootherproblems................................

5、......62.2Frequentistprocedures........................................72.3Bayesianprocedures..........................................72.4Binaryandmulticlassclassification..................................72.5Featurevectors............................................72.6Linearclassifiers......

6、.....................................72.7Algorithms..............................................82.8Evaluation...............................................82.9Applicationdomains..........................................82.10Seealso................................................82.11Refere

7、nces...............................................92.12Externallinks.............................................93Regressionanalysis10iiiCONTENTS3.1History.................................................103.2Regressionmodels...............

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