hmm模型matlab代码-ml_tools:用Matlab编写的机器学习工具（主要是GMM和HMM）的编译

[{"title":"（ 29 个子文件 32KB ） hmm模型matlab代码-ml_tools:用Matlab编写的机器学习工具（主要是GMM和HMM）的编译","children":[{"title":"ml_tools-master","children":[{"title":"test_examples","children":[{"title":"mvn_example2.m <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"active_learning2.m <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"laplace_approx_example1.m <span style='color:#111;'> 3.76KB </span>","children":null,"spread":false},{"title":"gmm_example2.m <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"categorical_example1.m <span style='color:#111;'> 572B </span>","children":null,"spread":false},{"title":"mvn_example1.m <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"dirichlet_example1.m <span style='color:#111;'> 910B </span>","children":null,"spread":false},{"title":"hmm_example2.m <span style='color:#111;'> 7.43KB </span>","children":null,"spread":false},{"title":"gmm_example1.m <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"active_learning1.m <span style='color:#111;'> 3.33KB </span>","children":null,"spread":false},{"title":"mvst_example1.m <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"hmm_example.m <span style='color:#111;'> 4.39KB </span>","children":null,"spread":false}],"spread":false},{"title":"README.md <span style='color:#111;'> 1.99KB </span>","children":null,"spread":false},{"title":"GaussianMixtureModel.m <span style='color:#111;'> 6.39KB </span>","children":null,"spread":false},{"title":"support","children":[{"title":"logsumexp.m <span style='color:#111;'> 250B </span>","children":null,"spread":false},{"title":"logsum.m <span style='color:#111;'> 267B </span>","children":null,"spread":false},{"title":"normalizeLogspace.m <span style='color:#111;'> 556B </span>","children":null,"spread":false},{"title":"Beta.m <span style='color:#111;'> 141B </span>","children":null,"spread":false},{"title":"nearestSPD.m <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"logBeta.m <span style='color:#111;'> 147B </span>","children":null,"spread":false},{"title":"normalize.m <span style='color:#111;'> 650B </span>","children":null,"spread":false}],"spread":true},{"title":"HiddenMarkovModel.m <span style='color:#111;'> 16.70KB </span>","children":null,"spread":false},{"title":"distributions","children":[{"title":"MultivariateTStudentDistribution.m <span style='color:#111;'> 3.76KB </span>","children":null,"spread":false},{"title":"DirichletDistribution.m <span style='color:#111;'> 5.82KB </span>","children":null,"spread":false},{"title":"CategoricalDistribution.m <span style='color:#111;'> 3.33KB </span>","children":null,"spread":false},{"title":"MultivariateNormalDistribution.m <span style='color:#111;'> 11.98KB </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"README.md <span style='color:#111;'> 47B </span>","children":null,"spread":false}],"spread":true},{"title":"weight_mle_dirichlet","children":[{"title":"weightMask.m <span style='color:#111;'> 367B </span>","children":null,"spread":false},{"title":"dirichlet_weight_fit.m <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]