代码搜索：MIXTURE
找到约 1,805 项符合「MIXTURE」的源代码
代码结果 1,805
www.eeworm.com/read/465307/1521120
dcf monsharedm1s3.dcf
This DCF produces a single mixture, three stream monophone system
with shared covariance.
hsKind: S
covKind: D
nStreams: 3
nMixes: 1 1 1
Con
www.eeworm.com/read/465307/1521127
pcf proto_s1_m4_fc.pcf
This PCF produces a single stream, 4 mixture, full covariance
prototype system.
hsKind: P
covKind: F
nStates: 3
nStreams: 1
sWidths: 26
mix
www.eeworm.com/read/465307/1521133
pcf proto_s1_m1_fc.pcf
This PCF produces a single mixture, single stream FULLC prototype system
hsKind: P
covKind: F
nStates: 3
nStreams: 1
sWidths: 26
mixes: 1
parm
www.eeworm.com/read/347796/3163069
java doctransmixtureweightem.java
package dragon.ir.search.smooth;
import dragon.ir.index.*;
import dragon.ir.query.*;
import dragon.ir.search.*;
/**
* Computes the Mixture Weights for Models using translations
*
www.eeworm.com/read/268397/4252956
java simplemixturemodel.java
package dragon.ir.topicmodel;
import dragon.ir.index.IndexReader;
import dragon.matrix.vector.DoubleVector;
import java.util.*;
/**
* Simple mixture model
*
* Copyrigh
www.eeworm.com/read/268397/4252992
java doctransmixtureweightem.java
package dragon.ir.search.smooth;
import dragon.ir.index.*;
import dragon.ir.query.*;
import dragon.ir.search.*;
/**
* Computes the Mixture Weights for Models using translations
*
www.eeworm.com/read/430506/1929398
m pnormal.m
function pnormal(MI,SIGMA,I,afill,r,col)
% pnormal(MI,SIGMA,I,afill,r,col)
%
% PNORAML vizualizes mixture of normal distributions in 2D space.
% Each normal distribution is determined by a pair of
www.eeworm.com/read/430506/1929505
m nmix.m
function [XMix,IMix]=nmix(MI,SIGMA,PP,N)
% function [XMix,IMix]=nmix(MI,SIGMA,PP,N)
% NMIX generates mixture of the normal distributed random values
% which have mean value MI, covariance SIGMA an
www.eeworm.com/read/376881/2706667
m melgmm.m
function model=melgmm(X,Alpha,cov_type)
% MELGMM Maximizes Expectation of Log-Likelihood for Gaussian mixture.
%
% Synopsis:
% model = melgmm(X,Alpha)
% model = melgmm(X,Alpha,cov_type)
%
% Descri
www.eeworm.com/read/373460/2761832
m pnormal.m
function pnormal(MI,SIGMA,I,afill,r,col)
% pnormal(MI,SIGMA,I,afill,r,col)
%
% PNORAML vizualizes mixture of normal distributions in 2D space.
% Each normal distribution is determined by a pair of