代码搜索：normalisation

找到约 94 项符合「normalisation」的源代码

代码结果 94
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www.eeworm.com/read/176347/9502570

txt readme.dp.01.txt

INTERNATIONAL ORGANIZATION FOR STANDARDIZATION ORGANISATION INTERNATIONALE DE NORMALISATION ISO/IEC JTC1/SC29/WG 11 CODING OF MOV
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www.eeworm.com/read/418695/10935162

m cnormc.m

%CNORMC Classifier normalisation for good posteriori probabilities % % W = cnormc(W,A) % % The mapping W is scaled according to the dataset A in such a % way that A*W*classc represents as good as
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www.eeworm.com/read/418009/10968742

txt readme.dp.01.txt

INTERNATIONAL ORGANIZATION FOR STANDARDIZATION ORGANISATION INTERNATIONALE DE NORMALISATION ISO/IEC JTC1/SC29/WG 11 CODING OF MOV
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www.eeworm.com/read/397102/8067976

m cnormc.m

%CNORMC Classifier normalisation for good posteriori probabilities % % W = cnormc(W,A) % % The mapping W is scaled according to the dataset A in such a % way that A*W*classc represents as good as
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www.eeworm.com/read/342008/12046768

m cnormc.m

%CNORMC Classifier normalisation for good posteriori probabilities % % W = cnormc(W,A) % % The mapping W is scaled according to the dataset A in such a % way that A*W*classc represents as good as
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www.eeworm.com/read/293183/8310149

m cnormc.m

%CNORMC Classifier normalisation for good posteriori probabilities % % W = cnormc(W,A) % % The mapping W is scaled according to the dataset A in such a % way that A*W*classc represents as good as
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www.eeworm.com/read/386050/8767282

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
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www.eeworm.com/read/299984/7139933

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
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www.eeworm.com/read/460435/7250408

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
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www.eeworm.com/read/450608/7480074

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
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