代码搜索：Classifier

找到约 4,824 项符合「Classifier」的源代码

代码结果 4,824
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www.eeworm.com/read/400577/11572983

m lmnc.m

%LMNC Levenberg-Marquardt trained feed-forward neural net classifier % % [W,HIST] = LMNC (A,UNITS,ITER,W_INI,T) % % INPUT % A Dataset % UNITS Array indicating number of units in each hid
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www.eeworm.com/read/400577/11573205

m testc.m

%TESTC Test classifier, error / performance estimation % % [E,C] = TESTC(A*W,TYPE) % [E,C] = TESTC(A,W,TYPE) % E = A*W*TESTC([],TYPE) % % [E,F] = TESTC(A*W,TYPE,LABEL) % [E,F] = TESTC(A,
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www.eeworm.com/read/400577/11573230

m mapping.m

%MAPPING Mapping class constructor % % W = MAPPING(MAPPING_FILE, MAPPING_TYPE, DATA, LABELS, SIZE_IN, SIZE_OUT) % % A map/classifier object is constructed. It may be used to map a dataset A % on anoth
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www.eeworm.com/read/342008/12046762

m medianc.m

%MEDIANC Median combining classifier % % W = medianc(V) % W = V*medianc % % If V = [V1,V2,V3, ... ] is a set of classifiers trained on the % same classes and W is the median combiner: it selects
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www.eeworm.com/read/342008/12046941

m prodc.m

%PRODC Product combining classifier % % W = prodc(V) % W = V*prodc % % If V = [V1,V2,V3, ... ] is a set of classifiers trained on the % same classes and W is the product combiner: it selects the
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www.eeworm.com/read/255755/12057888

m lmnc.m

%LMNC Levenberg-Marquardt trained feed-forward neural net classifier % % [W,HIST] = LMNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each
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www.eeworm.com/read/255755/12058053

m mapping.m

%MAPPING Mapping class constructor % % W = MAPPING(MAPPING_FILE, MAPPING_TYPE, DATA, LABELS, SIZE_IN, SIZE_OUT) % % A map/classifier object is constructed. It may be used to map a dataset A % on anoth
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www.eeworm.com/read/150905/12249141

m lmnc.m

%LMNC Levenberg-Marquardt trained feed-forward neural net classifier % % [W,HIST] = LMNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each
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www.eeworm.com/read/150905/12249358

m mapping.m

%MAPPING Mapping class constructor % % W = MAPPING(MAPPING_FILE, MAPPING_TYPE, DATA, LABELS, SIZE_IN, SIZE_OUT) % % A map/classifier object is constructed. It may be used to map a dataset A % on anoth
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www.eeworm.com/read/150760/12265749

m contents.m

% Support Vector Machines. % % bsvm2 - Solver for multi-class BSVM with L2-soft margin. % evalsvm - Trains and evaluates Support Vector Machines classifier. % mvsvmclass - Majority votin
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