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