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KPMstats

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  • Update : 2008-10-13
  • Size : 88.82kb
  • Downloaded :0次
  • Author :李巍
  • About : 李巍
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Introduction - If you have any usage issues, please Google them yourself
MATLAB-KALMAN very good kit, KPMstats is a directory of miscellaneous statistics functions written byKevin Patrick Murphy and various other people
Packet file list
(Preview for download)
Packet : 63535303kpmstats.rar filelist
KPMstats\#chisquared_histo.m#
KPMstats\#clg_Mstep.m#
KPMstats\#clg_Mstep_simple.m#
KPMstats\#condGaussToJoint.m#
KPMstats\#convertBinaryLabels.m#
KPMstats\#KLgauss.m#
KPMstats\#linear_regression.m#
KPMstats\#logist2Apply.m#
KPMstats\#logist2ApplyRegularized.m#
KPMstats\#logist2FitRegularized.m#
KPMstats\#mixgauss_classifier_train.m#
KPMstats\#mixgauss_em.m#
KPMstats\#weightedRegression.m#
KPMstats\beta_sample.m
KPMstats\chisquared_histo.m
KPMstats\chisquared_histo.m~
KPMstats\chisquared_prob.m
KPMstats\chisquared_readme.txt
KPMstats\chisquared_table.m
KPMstats\clg_Mstep.m
KPMstats\clg_Mstep_simple.m
KPMstats\clg_Mstep_simple.m~
KPMstats\clg_prob.m
KPMstats\condGaussToJoint.m
KPMstats\condGaussToJoint.m~
KPMstats\condgaussTrainObserved.m
KPMstats\condgauss_sample.m
KPMstats\cond_indep_fisher_z.m
KPMstats\convertBinaryLabels.m
KPMstats\convertBinaryLabels.m~
KPMstats\CVS\Entries
KPMstats\CVS\Entries.Extra
KPMstats\CVS\Repository
KPMstats\CVS\Root
KPMstats\cwr_demo.m
KPMstats\cwr_em.m
KPMstats\cwr_predict.m
KPMstats\cwr_prob.m
KPMstats\cwr_readme.txt
KPMstats\cwr_test.m
KPMstats\dirichlet_sample.m
KPMstats\distchck.m
KPMstats\eigdec.m
KPMstats\est_transmat.m
KPMstats\fit_paritioned_model_testfn.m
KPMstats\fit_partitioned_model.m
KPMstats\gamma_sample.m
KPMstats\gaussian_prob.m
KPMstats\gaussian_sample.m
KPMstats\KLgauss.m
KPMstats\linear_regression.m
KPMstats\logist2.m
KPMstats\logist2Apply.m
KPMstats\logist2ApplyRegularized.m
KPMstats\logist2ApplyRegularized.m~
KPMstats\logist2Fit.m
KPMstats\logist2FitRegularized.m
KPMstats\logist2FitRegularized.m~
KPMstats\logistK.m
KPMstats\logistK_eval.m
KPMstats\marginalize_gaussian.m
KPMstats\matrix_normal_pdf.m
KPMstats\matrix_T_pdf.m
KPMstats\mc_stat_distrib.m
KPMstats\mixgauss_classifier_apply.m
KPMstats\mixgauss_classifier_train.m
KPMstats\mixgauss_em.m
KPMstats\mixgauss_init.m
KPMstats\mixgauss_Mstep.m
KPMstats\mixgauss_prob.m
KPMstats\mixgauss_prob_test.m
KPMstats\mkPolyFvec.m
KPMstats\mk_unit_norm.m
KPMstats\multinomial_prob.m
KPMstats\multinomial_sample.m
KPMstats\normal_coef.m
KPMstats\partial_corr_coef.m
KPMstats\parzen.m
KPMstats\parzenC.c
KPMstats\parzenC.dll
KPMstats\parzenC.mexglx
KPMstats\parzenC_test.m
KPMstats\parzen_fit_select_unif.m
KPMstats\pca.m
KPMstats\README.txt
KPMstats\rndcheck.m
KPMstats\sample.m
KPMstats\sample_discrete.m
KPMstats\sample_gaussian.m
KPMstats\standardize.m
KPMstats\student_t_logprob.m
KPMstats\student_t_prob.m
KPMstats\unif_discrete_sample.m
KPMstats\weightedRegression.m
KPMstats\weightedRegression.m~
KPMstats\CVS
KPMstats
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