代码搜索：Probabilities
找到约 751 项符合「Probabilities」的源代码
代码结果 751
www.eeworm.com/read/270992/11013604
m baseball.m
%baseball.m/created by PJNahin for "Duelling Idiots"(10/16/98)
%This m-file calculates and plots (as a function of p) the ratio
%of the probabilities of a team winning at least 81p games out of
%81
www.eeworm.com/read/449504/7502013
m fdis_prb.m
function y = fdis_prb( x, m, n)
% PURPOSE: computes f-distribution probabilities
%---------------------------------------------------
% USAGE: y = fdis_prb(x,m,n)
% INPUTS: x = calculated f-stati
www.eeworm.com/read/397102/8068001
m parzen_map.m
%PARZEN_MAP Map a dataset on a Parzen densities based classifier
%
% F = parzen_map(A,W)
%
% Maps the dataset A by the Parzen density based classfier W. F*sigm
% are the posterior probabilities. W
www.eeworm.com/read/314474/13566442
whatis
File (3) - Wrapper for stdio streams
LM (3) - Generic language model
Prob (3) - Probabilities for SRILM
Vocab (3) - Vocabulary indexing for SRILM
XXX (1) - XXX
XXX (3) - XXX
XXX (5) - XXX
www.eeworm.com/read/314474/13566811
cc multi-ngram.cc
/*
* multi-ngram --
* Assign probabilities of multiword N-gram models
*
*/
#ifndef lint
static char Copyright[] = "Copyright (c) 2000-2006 SRI International. All Rights Reserved.";
stati
www.eeworm.com/read/487309/6518995
m probclass.m
%PROBCLASS Classification based on conditional pdfs
%function [dataclass,dataprobs]=probclass(data,v1,v2,pdftbl)
%Get probabilities (dataprobs) and most likely class (dataclass)
%data: data point to b
www.eeworm.com/read/342008/12046863
m parzen_map.m
%PARZEN_MAP Map a dataset on a Parzen densities based classifier
%
% F = parzen_map(A,W)
%
% Maps the dataset A by the Parzen density based classfier W. F*sigm
% are the posterior probabilities. W
www.eeworm.com/read/233762/14137663
java variable.java
package rmn;
import java.util.*;
public class Variable implements Comparable {
// variable ID
String m_strID;
// cardinality
int m_nCard;
// marginal probabilities
double[] m_marginal;
www.eeworm.com/read/344585/3207824
m alphaprobs.m
function [pall,ff]=alphaprobs(X,y,alpha,pars,Xt);
%Determine the (tentative) probabilities produces by the current model
%maximum size of the kernel_matrix [maxsize,maxsize]
maxsize=3000;
N=size(X,1);
www.eeworm.com/read/273525/4207037
ado lsens_7.ado
*! version 1.1.6 22sep2004
program define lsens_7, rclass
version 6.0, missing
/* Parse and generate `touse', `p' (predicted probabilities),
and `w' (weights).
*/
tempvar touse p w se