代码搜索：Probabilities

找到约 751 项符合「Probabilities」的源代码

代码结果 751
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www.eeworm.com/read/314653/13562565

m genclass.m

%GENCLASS Generate class frequency distribution % % M = GENCLASS(N,P) % % INPUT % N Number (scalar) % P Prior probabilities (optional; default: equal prior probabilities) % % OUTPUT % M C
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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
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www.eeworm.com/read/314474/13566473

html lm.html

LM LM NAME LM - Generic language model SYNOPSIS #include <LM.h>
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www.eeworm.com/read/309349/13673591

html rand.html

Random Variate Generation Routines Random Variate Generation Routines This module provides facilities for basic pseudo-random number gene
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www.eeworm.com/read/309349/13673652

c check.c

/* CHECK.C - Compute parity checks and other stats on decodings. */ /* Copyright (c) 2001 by Radford M. Neal * * Permission is granted for anyone to copy, use, modify, or distribute this * progra
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www.eeworm.com/read/493294/6400178

m getprior.m

%GETPRIOR Get class prior probabilities of dataset % % [PRIOR,LABLIST] = GETPRIOR(A) % % INPUT % A Dataset % % OUTPUT % PRIOR Class prior probabilities % LABLIST Label list % % DESC
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www.eeworm.com/read/493294/6400329

m genclass.m

%GENCLASS Generate class frequency distribution % % M = GENCLASS(N,P) % % INPUT % N Number (scalar) % P Prior probabilities (optional; default: equal prior probabilities) % % OUTPUT % M C
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www.eeworm.com/read/493294/6400331

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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www.eeworm.com/read/400577/11572643

m knn_map.m

%KNN_MAP Map a dataset on a K-NN classifier % % F = KNN_MAP(A,W) % % INPUT % A Dataset % W K-NN classifier trained by KNNC % % OUTPUT % F Posterior probabilities % % DESCRIPTION % Maps t
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www.eeworm.com/read/400577/11572889

m getprior.m

%GETPRIOR Get class prior probabilities of dataset % % [PRIOR,LABLIST] = GETPRIOR(A,WARNING) % % INPUT % A Dataset % WARNING 1: Generate warning if priors are not set and should be %
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