Man pages for jlin-vt/SML
Statistical Machine Learning

AdaBoostDemo of Adaboost using Sonar dataaset.
ADMMADMM alogrithm for solving convex optimization with l1-norm.
ADMM.fastADMM alogrithm for solving convex optimization with l1-norm.
BvsGibbsGibbs sampler for Bayesian variables selection requires with...
BvsMHMetropolis–Hastings algorithm for Bayesian variables...
CalcSigmaCalculates the covariance matrix sigma using a the squared...
CDFFind CDF
CRPDemo of chinese restaurant process.
DpmmGibbsGibbs sampling for the Gaussian Dirichlet process mixture...
DpmmLoglikCalculate the log likelihood for the Gaussian DP mixture...
EuclidReturn Euclidean distance matrix for the data.
GaussmixEMDemo of EM algorithm for univariate Gaussian Mixture Model....
GmmVbemVariational Bayes EM algorithm for Gaussian Mixture Model.
InverseCDFFind inverse CDF
KmeansDemo of k-Means algorithm using the Old Faithful dataset.
MetropolisHastingSamplerMetropolis Hasting samlinging MCMC for 1-d Gaussian Mixture...
NormalizeLogprobNormalize a log probability vector without numerical...
PolyaUrnDemo of polya urn process.
Prox.L1Return proximal function of none smooth function h.
RejectionSamplerRejection sampler for univariate data.
SirLinearGaussSMC method using SIR algorithm in linear Gaussian state-space...
SirStochasticVolatilitySMC method using SIR algorithm in linear Gaussian state-space...
T_logpdfGeneralized t-Distribution log PDF
UniGaussVbUnivariate Variational Bayesian for 1-d Gaussian.
jlin-vt/SML documentation built on Dec. 5, 2019, 2:05 a.m.