文件名称:HMMall

  • 所属分类:
  • 数学计算/工程计算
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 202kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • l***
  • 相关连接:
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  • 别用迅雷下载,失败请重下,重下不扣分!

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马尔可夫过程是一类重要的随机过程,它的原始模型马尔可夫链,由俄国数学家Α.Α.马尔可夫于1907年提出。本程序是对隐马尔可夫模型的一个完整的建模。 -Markov process is one important class of stochastic processes, and its original model of Markov chain, by the Russian mathematician Markov Α.Α. made in 1907. This procedure is a Hidden Markov Model of a complete modeling.
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下载文件列表

HMMall

......\HMM

......\...\#fwdback.m#

......\...\#mhmm_em.m#

......\...\dhmm_em_online_demo.m

......\...\dhmm_logprob_path.m

......\...\dhmm_sample.m

......\...\fixed_lag_smoother_demo.m

......\...\fwdback.m

......\...\fwdprop_backsample.m

......\...\mc_sample.m

......\...\mc_sample_endstate.m

......\...\mdp_sample.m

......\...\mhmmParzen_train_observed.m

......\...\mhmm_em.m

......\...\mhmm_em_demo.m

......\...\mk_leftright_transmat.m

......\...\mk_rightleft_transmat.m

......\...\pomdp_sample.m

......\...\publishHMM.m

......\...\testHMM.m

......\KPMstats

......\........\#histCmpChi2.m#

......\........\beta_sample.m

......\........\chisquared_histo.m

......\........\chisquared_prob.m

......\........\chisquared_readme.txt

......\........\clg_Mstep.m

......\........\clg_Mstep_simple.m

......\........\clg_prob.m

......\........\condgaussTrainObserved.m

......\........\condgauss_sample.m

......\........\convertBinaryLabels.m

......\........\cwr_demo.m

......\........\cwr_prob.m

......\........\fit_paritioned_model_testfn.m

......\........\gaussian_sample.m

......\........\histCmpChi2.m

......\........\KLgauss.m

......\........\logist2Apply.m

......\........\logist2ApplyRegularized.m

......\........\logist2FitRegularized.m

......\........\logistK_eval.m

......\........\marginalize_gaussian.m

......\........\matrix_normal_pdf.m

......\........\matrix_T_pdf.m

......\........\mc_stat_distrib.m

......\........\mixgauss_classifier_apply.m

......\........\mixgauss_sample.m

......\........\mkPolyFvec.m

......\........\mk_unit_norm.m

......\........\multinomial_prob.m

......\........\multirnd.m

......\........\normal_coef.m

......\........\parzenC.dll

......\........\parzenC_test.m

......\........\README.txt

......\........\sample.m

......\........\standardize.m

......\........\test_dir.m

......\........\unidrndKPM.m

......\........\unif_discrete_sample.m

......\KPMtools

......\........\approxeq.m

......\........\argmax.m

......\........\argmin.m

......\........\asdemo.html

......\........\asdemo.m

......\........\asort.m

......\........\assert.m

......\........\assignEdgeNums.m

......\........\bipartiteMatchingDemo.m

......\........\bipartiteMatchingDemoPlot.m

......\........\block.m

......\........\cell2num.m

......\........\centeringMatrix.m

......\........\chi2inv.m

......\........\choose.m

......\........\cross_entropy.m

......\........\dirKPM.m

......\........\div.m

......\........\draw_ellipse.m

......\........\entropy.m

......\........\exportfig.m

......\........\factorial.m

......\........\filepartsLast.m

......\........\foptions.m

......\........\genpathKPM.m

......\........\hash_del.m

......\........\hash_lookup.m

......\........\hsvKPM.m

......\........\imresizeAspect.m

......\........\ind2subv.c

......\........\installC_KPMtools.m

......\........\isemptycell.m

......\........\isposdef.m

......\........\isscalarKPM.m

......\........\isvectorKPM.m

......\........\is_psd.m

......\........\is_stochastic.m

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