代码搜索:classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
www.eeworm.com/read/314653/13562271

m contents.m

% Pattern Recognition Tools % Version 4.0.23 17-Apr-2007 % %Datasets and Mappings (just most important routines) %--------------------- %dataset Define and retrieve dataset from datamatrix and lab
www.eeworm.com/read/314653/13562354

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
www.eeworm.com/read/314653/13562473

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
www.eeworm.com/read/314653/13562522

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
www.eeworm.com/read/314653/13562544

m ldc.m

%LDC Linear Bayes Normal Classifier (BayesNormal_1) % % W = LDC(A,R,S) % % INPUT % A Dataset % R,S Regularization parameters, 0
www.eeworm.com/read/314653/13562567

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
www.eeworm.com/read/314653/13562691

m testn.m

%TESTN Error estimate of discriminant for normal distribution. % % E = TESTN(W,U,G,N) % % INPUT % W Trained classifier mapping % U C x K dataset with C class means, labels and priors (default
www.eeworm.com/read/314653/13562702

m prtestc.m

%PRTESTC Test routine for the PRTOOLS classifier % % This script tests a given, untrained classifier w, defined in the % workspace, e.g. w = my_classifier. The goal is to find out whether % w fulfill
www.eeworm.com/read/314653/13562707

m prtools.m

% Pattern Recognition Tools % Version 4.0.23 17-Apr-2007 % %Datasets and Mappings (just most important routines) %--------------------- %dataset Define and retrieve dataset from datamatrix and lab
www.eeworm.com/read/152629/5672756

java naivebayestrainer.java

/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet Th