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pattedn-recognition-for

  • Category : Algorithm
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  • Update : 2017-05-13
  • Size : 286kb
  • Downloaded :0次
  • Author :ptacemenp
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Introduction - If you have any usage issues, please Google them yourself
On the Internet to find a pattern recognition toolbox, hope to be useful for a variety of classification
Packet file list
(Preview for download)


README.txt
Classification.txt
Feature_selection.txt
Preprocessing.txt
dAbout.bmp
ADDC.m
AGHC.m
Backpropagation_Batch.m
Backpropagation_CGD.m
Backpropagation_Quickprop.m
Backpropagation_Recurrent.m
Backpropagation_SM.m
Backpropagation_Stochastic.m
Balanced_Winnow.m
Other\Bayesian_Belief_Networks.m
Bayesian_Model_Comparison.m
Other\Bayesian_parameter_est.m
Bhattacharyya.m
BIMSEC.m
Other\Bottom_Up_Parsing.m
.....\Boyer_Moore_String_Matching.m
C4_5.m
calculate_error.m
calculate_region.m
CART.m
CARTfunctions.m
Cascade_Correlation.m
Chernoff.m
classification_error.m
classifier.m
classifier_commands.m
classify_paramteric.m
click_points.m
combinations.m
Competitive_learning.m
Components_with_DF.m
Components_without_DF.m
Other\contents.m
contents.m
Other\demo_fun.m
Deterministic_annealing.m
Deterministic_Boltzmann.m
Deterministic_SA.m
Discrete_Bayes.m
Discriminability.m
DSLVQ.m
Other\Edit_Distance.m
EM.m
enter_distributions.m
enter_distributions_commands.m
Exhaustive_Feature_Selection.m
feature_selection.m
feature_selection_commands.m
FindParameters.m
FindParametersFunctions.m
FishersLinearDiscriminant.m
fuzzy_k_means.m
GaussianParameters.m
generate_data_set.m
Genetic_Algorithm.m
Genetic_Culling.m
Genetic_Programming.m
Gibbs.m
Other\gradient_descent.m
.....\Grammatical_Inference.m
HDR.m
high_histogram.m
Other\high_histogram.m
.....\HMM_Backward.m
.....\HMM_Boltzmann.m
.....\HMM_Decoding.m
.....\HMM_Evaluation.m
.....\HMM_Forward.m
.....\HMM_Forward_Backward.m
.....\HMM_generate.m
Ho_Kashyap.m
ICA.m
ID3.m
Infomat.m
Information_based_selection.m
Interactive_Learning.m
k_means.m
Kohonen_SOFM.m
Leader_Follower.m
LMS.m
load_file.m
Local_Polynomial.m
LocBoost.m
LocBoostFunctions.m
loglikelihood.m
LS.m
LVQ1.m
LVQ3.m
make_a_draw.m
Marginalization.m
MDS.m
Other\mean_bootstrap.m
.....\mean_jackknife.m
min_spanning_tree.m
Minimum_Cost.m
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