matlab 模式识别
...............\ADDC.m
...............\AGHC.m
...............\About.bmp
...............\Ada_Boost.m
...............\BIMSEC.m
...............\Backpropagation_Batch.m
...............\Backpropagation_CGD.m
...............\Backpropagation_Quickprop.m
...............\Backpropagation_Recurrent.m
...............\Backpropagation_SM.m
...............\Backpropagation_Stochastic.m
...............\Balanced_Winnow.m
...............\Bayesian_Model_Comparison.m
...............\Bhattacharyya.m
...............\C4_5.m
...............\CART.m
...............\CARTfunctions.m
...............\Cascade_Correlation.m
...............\Chernoff.m
...............\Classification.txt
...............\Competitive_learning.m
...............\Components_with_DF.m
...............\Components_without_DF.m
...............\DSLVQ.m
...............\Deterministic_Boltzmann.m
...............\Deterministic_SA.m
...............\Deterministic_annealing.m
...............\Discrete_Bayes.m
...............\Discriminability.m
...............\EM.m
...............\Exhaustive_Feature_Selection.m
...............\Feature_selection.txt
...............\FindParameters.m
...............\FindParameters.mat
...............\FindParametersFunctions.m
...............\FishersLinearDiscriminant.m
...............\GaussianParameters.m
...............\GaussianParameters.mat
...............\Genetic_Algorithm.m
...............\Genetic_Culling.m
...............\Genetic_Programming.m
...............\Gibbs.m
...............\HDR.m
...............\Ho_Kashyap.m
...............\ICA.m
...............\ID3.m
...............\Infomat.m
...............\Information_based_selection.m
...............\Interactive_Learning.m
...............\Kohonen_SOFM.m
...............\LMS.m
...............\LS.m
...............\LVQ1.m
...............\LVQ3.m
...............\Leader_Follower.m
...............\LocBoost.m
...............\LocBoostFunctions.m
...............\Local_Polynomial.m
...............\MDS.m
...............\ML.m
...............\ML_II.m
...............\ML_diag.m
...............\Marginalization.m
...............\Minimum_Cost.m
...............\MultipleDiscriminantAnalysis.m
...............\Multivariate_Splines.m
...............\NDDF.m
...............\NLCA.m
...............\NearestNeighborEditing.m
...............\Nearest_Neighbor.m
...............\None.m
...............\Optimal_Brain_Surgeon.m
...............\Other
...............\.....\Bayes_belief_net.mat
...............\.....\Bayesian_Belief_Networks.m
...............\.....\Bayesian_parameter_est.m
...............\.....\Bottom_Up_Parsing.m
...............\.....\Boyer_Moore_String_Matching.m
...............\.....\Edit_Distance.m
...............\.....\Grammatical_Inference.m
...............\.....\HMM_Backward.m
...............\.....\HMM_Boltzmann.m
...............\.....\HMM_Decoding.m
...............\.....\HMM_Evaluation.m
...............\.....\HMM_Forward.m
...............\.....\HMM_Forward_Backward.m
...............\.....\HMM_generate.m
...............\.....\Naive_String_Matching.m
...............\.....\Newton_descent.m
...............\.....\ROCC.m
...............\.....\Stochastic_Regression.m
...............\.....\contents.m
...............\.....\demo_fun.m
...............\.....\gradient_descent.m
...............\.....\high_histogram.m
...............\.....\mean_bootstrap.m
...............\.....\mean_jackknife.m
...............\.....\sample_hmm.mat
...............\.....\sufficient_statistics.m