代码搜索:Probability
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www.eeworm.com/read/213425/15135076
m rsmp.m
function Inew=rsmp(pik,N)
%picks N indeces from pik randomly. The probability of a certain element is proportional to the size of the corresponding element in pik.
%Author PSL 200411
akkupik=cumsum
www.eeworm.com/read/212307/15160203
m mdnpost.m
function [post, a] = mdnpost(mixparams, t)
%MDNPOST Computes the posterior probability for each MDN mixture component.
%
% Description
% POST = MDNPOST(MIXPARAMS, T) computes the posterior probability
www.eeworm.com/read/212047/15166672
c cauchy.c
/* randist/cauchy.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 James Theiler, Brian Gough
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of th
www.eeworm.com/read/211695/15175486
m rsmp.m
function Inew=rsmp(pik,N)
%picks N indeces from pik randomly. The probability of a certain element is proportional to the size of the corresponding element in pik.
%Author PSL 200411
akkupik=cumsum
www.eeworm.com/read/210681/15193485
m calccovpccpch.m
%CALCCOVPCCPCH CALCCOVPCCPCH calculates the coverage probability (Eb/Nt) for channels mapped on the
% primary or secondary CCPCH
%
%Authors: Kari Sipil
www.eeworm.com/read/210156/15205834
m expected.m
function e=expected(funfcn,a,b,tol,p1,p2,p3)
% EXPECTED Finds the expected value of a random variable
% with probability density function 'funfcn' and
% support [a,b].
% Y=EXPECTED('F'
www.eeworm.com/read/167728/5452836
c cauchy.c
/* randist/cauchy.c
*
* Copyright (C) 1996, 1997, 1998, 1999, 2000 James Theiler, Brian Gough
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of th
www.eeworm.com/read/167185/5463361
3 relent.3
.\" Copyright (c) 1988 Entropic Speech, Inc. All rights reserved.
.\"@(#)relent.3 1.1 31 Aug 1989 ESI
.TH REL_ENT 3\-ESPSsp 31 Aug 1989
.ds ]W "\fI\s+4\ze\h'0.05'e\s-4\v'-0.4m'\fP\(*p\v'0.4m'\ Entropi
www.eeworm.com/read/163233/5511104
maple nap.maple
# Neuron activation probability
# where T is the amount of thermal noise in
# the system, and a is the energy level
# of the neuron.
p := proc (t,a)
RETURN( 1/(1+(E^(-(a/t)))))
end;
www.eeworm.com/read/155397/5622555
java empiricalmodel.java
// $Id: EmpiricalModel.java,v 1.6.4.3 2003/08/26 09:08:11 cssharp Exp $
/* tab:2
*
*
* "Copyright (c) 2000 and The Regents of the University
* of California. All rights reserved.
*
*