代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

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java classifieri.java

package tclass; /** * The interface for a classifier. These objects are produced by * learners. * * * @author Waleed Kadous * @version $Id: ClassifierI.java,v 1.1.1.1 2002/06/28 07
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m medianc.m

%MEDIANC Median combining classifier % % W = MEDIANC(V) % W = V*MEDIANC % % INPUT % V Set of classifiers % % OUTPUT % W Median combining classifier on V % % DESCRIPTION % If V = [V
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m dd_fp.m

function e = dd_fp(w,z,err) %DD_FP % % E = DD_FP(W,Z,ERR) % % Change the threshold of a (trained) classifier W, such that the error % on the target class (the fraction false negative) is set to ERR
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m classc.m

%CLASSC Convert mapping to classifier % % W = CLASSC(W) % W = W*CLASSC % % INPUT % W Any mapping or dataset % % OUTPUT % W Classifier mapping or normalized dataset: outputs/features sum to 1 %
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m prodc.m

%PRODC Product combining classifier % % W = PRODC(V) % W = V*PRODC % % INPUT % V Set of classifiers trained on the same classes % % OUTPUT % W Product combiner % % DESCRIPTION % It def
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m contents.m

% Pattern Recognition Tools % Version URV 24-Mar-2004 % % This is prelimanary, many support routines in ./private ./@datasets % and ./@mappings are not mentioned. % %Datasets and Mappings (just most i
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m prtools.m

% Pattern Recognition Tools % Version URV 24-Mar-2004 % % This is prelimanary, many support routines in ./private ./@datasets % and ./@mappings are not mentioned. % %Datasets and Mappings (just most i
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m meanc.m

%MEANC Mean combining classifier % % W = MEANC(V) % W = V*MEANC % % INPUT % V Set of classifiers (optional) % % OUTPUT % W Mean combiner % % DESCRIPTION % If V = [V1,V2,V3, ... ] is a s
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m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
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m tree_map.m

%TREE_MAP Map a dataset by binary decision tree % % F = TREE_MAP(A,W) % % INPUT % A Dataset % W Decision tree mapping % % OUTPUT % F Posterior probabilities % % DESCRIPTION % Maps the dataset
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