From the Publisher Focus on 2D in Direct3D? teaches you all of the tools and tips you ll need to di
From the Publisher Focus on 2D in Direct3D? teaches you all of the tools and tips you ll need to di...
dimension技术资料
📦 资源总数：40
💻 源代码：20607
📚 dimension全部资料 (40个)
support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) wit
support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) wit...
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) ％CUM2X Cross-covariance ％ y_cum = cum2x
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) ％CUM2X Cross-covariance ％ y_cum = cum2x...
Fractal Explorer GUI-based program for exploring and studying the most common form of fractals, c
Fractal Explorer GUI-based program for exploring and studying the most common form of fractals, c...
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl...
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t...
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier...
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak...
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the princ
Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the princ...
％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da
％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da...