代码搜索：Multi-class

找到约 534 项符合「Multi-class」的源代码

代码结果 534
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java lossmulticlassdecoder.java

package dragon.ir.classification.multiclass; import dragon.matrix.vector.DoubleVector; /** * Loss-based Multi-class Decoder * A multi-class decoder which predict the category of an examp
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java lossmulticlassdecoder.java

package dragon.ir.classification.multiclass; import dragon.matrix.vector.DoubleVector; /** * Loss-based Multi-class Decoder * A multi-class decoder which predict the category of an examp
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www.eeworm.com/read/428849/8834618

m bsvm2.m

function model = bsvm2( data, options ) % BSVM2 Multi-class BSVM with L2-soft margin. % % Synopsis: % model = bsvm2( data, options ) % % Description: % This function trains the multi-class SVM clas
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m bsvm2.m

function model = bsvm2( data, options ) % BSVM2 Multi-class BSVM with L2-soft margin. % % Synopsis: % model = bsvm2( data, options ) % % Description: % This function trains the multi-class SVM clas
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m bsvm2.m

function model = bsvm2( data, options ) % BSVM2 Multi-class BSVM with L2-soft margin. % % Synopsis: % model = bsvm2( data, options ) % % Description: % This function trains the multi-class SVM clas
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m bsvm2.m

function model = bsvm2( data, options ) % BSVM2 Multi-class BSVM with L2-soft margin. % % Synopsis: % model = bsvm2( data, options ) % % Description: % This function trains the multi-class SVM clas
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www.eeworm.com/read/213492/15133665

m bsvm2.m

function model = bsvm2( data, options ) % BSVM2 Multi-class BSVM with L2-soft margin. % % Synopsis: % model = bsvm2( data, options ) % % Description: % This function trains the multi-class SVM clas
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www.eeworm.com/read/430506/1929382

m multi2dicho.m

function [Idicho]=multi2dicho(Imulti,class1) % MULTI2DICHO decomposes multi-class problem to dichotomi. % [Idicho]=multi2dicho(Imulti,class1) % % MULTI2DICHO decompose multi-class classification pr
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m multi2dicho.m

function [Idicho]=multi2dicho(Imulti,class1) % MULTI2DICHO decomposes multi-class problem to dichotomi. % [Idicho]=multi2dicho(Imulti,class1) % % MULTI2DICHO decompose multi-class classification pr
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www.eeworm.com/read/415313/11076728

m wekaclassify.m

% WekaClassify: implementation for weka classification % % Parameters: % para: parameters % 1. MultiClassWrapper: use multi-class wrapper or not, default: -1 % (automatically detected) % X_
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