www.gusucode.com > classification_matlab_toolbox分类方法工具箱源码程序 > code/Classification_toolbox/Other/contents.m
% HMM's % HMM_Backward - HMM backward algorithm % HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks % HMM_Decoding - Find probable states from the output of an HMM % HMM_Evaluation - Find the probability of a finite state in a Markov chain % HMM_Forward - HMM forward algorithm % HMM_Forward_backward- Forward-backward estimation algorithm % HMM_Generate - Generate a sample output of an HMM % % Optimization % Gradient_descent - Find the minimum of a function using gradient descent % Newton_descent - Find the minimum of a function using Newton descent % demo_fun - A demo fun to minimize % Stochastic_regression - Perform stochastic regression for linear data % % Estimations: % mean_jackknife - Estimate the mean using the Jackknife estimate % mean_bootstrap - Estimate the mean using the bootstrap estimate % ROCC - Generate the reciever operating characteristic curve % Sufficient_statistics - Find the sufficient statistics for common distributions % % Data reshaping % MultipleDiscriminantAnalysis - Multiple descriminant analysis % Bayesian_parameter_est - Estimate the mean using the Bayesian parameter estimation for Gaussian mixture % % String algorithms % Bottom_Up_Parsing % Boyer_Moore_String_Matching % Edit_Distance % Grammatical_Inference % Naive_String_Matching % % Bayesian belief networks % Bayesian_Belief_Networks