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文件名称:network

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  • 上传时间:
    2014-04-03
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    1.56mb
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介绍说明--下载内容来自于网络,使用问题请自行百度

多种神经网络算法,包括等,可实现模式识别以及回归。-There are many algorithms in the zip,including svm, bp, crf,hmm.It can be used in the pattern recognition.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

network/
network/CRF/
network/CRF/KPM/
network/CRF/KPM/mexutil.c
network/CRF/KPM/mexutil.h
network/CRF/KPM/repmatC.c
network/CRF/KPM/repmatC.dll
network/CRF/KPM/repmatC.mexa64
network/CRF/KPM/repmatC.mexglx
network/CRF/KPM/repmatC.mexmac
network/CRF/KPM/repmatC.mexmaci
network/CRF/KPM/repmatC.mexw32
network/CRF/crfChain/
network/CRF/crfChain/crfChain_decode.m
network/CRF/crfChain/crfChain_error.m
network/CRF/crfChain/crfChain_gen.m
network/CRF/crfChain/crfChain_genSynthetic.m
network/CRF/crfChain/crfChain_infer.m
network/CRF/crfChain/crfChain_initSentences.m
network/CRF/crfChain/crfChain_initWeights.m
network/CRF/crfChain/crfChain_loss.m
network/CRF/crfChain/crfChain_makePotentials.m
network/CRF/crfChain/crfChain_sample.m
network/CRF/crfChain/crfChain_splitWeights.m
network/CRF/crfChain/mex/
network/CRF/crfChain/mex/crfChain_inferC.c
network/CRF/crfChain/mex/crfChain_inferC.mexglx
network/CRF/crfChain/mex/crfChain_inferC.mexmac
network/CRF/crfChain/mex/crfChain_inferC.mexw32
network/CRF/crfChain/mex/crfChain_lossC2.c
network/CRF/crfChain/mex/crfChain_lossC2.mexglx
network/CRF/crfChain/mex/crfChain_lossC2.mexmac
network/CRF/crfChain/mex/crfChain_lossC2.mexw32
network/CRF/crfChain/mex/crfChain_makePotentialsC.c
network/CRF/crfChain/mex/crfChain_makePotentialsC.mexglx
network/CRF/crfChain/mex/crfChain_makePotentialsC.mexmac
network/CRF/crfChain/mex/crfChain_makePotentialsC.mexw32
network/CRF/example_crfChain.m
network/CRF/mexAll.m
network/CRF/minFunc/
network/CRF/minFunc/WolfeLineSearch.m
network/CRF/minFunc/isLegal.m
network/CRF/minFunc/lbfgs.m
network/CRF/minFunc/lbfgsC.c
network/CRF/minFunc/lbfgsC.mexa64
network/CRF/minFunc/lbfgsC.mexglx
network/CRF/minFunc/lbfgsC.mexmac
network/CRF/minFunc/lbfgsC.mexmaci
network/CRF/minFunc/lbfgsC.mexmaci64
network/CRF/minFunc/lbfgsC.mexw32
network/CRF/minFunc/lbfgsC.mexw64
network/CRF/minFunc/lbfgsUpdate.m
network/CRF/minFunc/minFunc.m
network/CRF/minFunc/minFunc_processInputOptions.m
network/CRF/minFunc/polyinterp.m
network/CRF/misc/
network/CRF/misc/sampleDiscrete.m
network/FA.mat
network/HMM/
network/HMM/A.mat
network/HMM/B.mat
network/HMM/CBTemp.mat
network/HMM/ForceA.mat
network/HMM/ForceB.mat
network/HMM/HMMtool.asv
network/HMM/KLgauss.m
network/HMM/NetWork_HMM.m
network/HMM/README.txt
network/HMM/README.txt~
network/HMM/Untitled2.m
network/HMM/VQIndex.m
network/HMM/aaHMM.m
network/HMM/approx_unique.m
network/HMM/approxeq.m
network/HMM/argmax.m
network/HMM/argmin.m
network/HMM/asdemo.html
network/HMM/asdemo.m
network/HMM/asort.m
network/HMM/asort.m~
network/HMM/assert.m
network/HMM/assignEdgeNums.m
network/HMM/assign_cols.m
network/HMM/axis_pct.m
network/HMM/beta_sample.m
network/HMM/bipartiteMatchingDemo.m
network/HMM/bipartiteMatchingDemo.m~
network/HMM/bipartiteMatchingDemoPlot.m
network/HMM/bipartiteMatchingDemoPlot.m~
network/HMM/bipartiteMatchingHungarian.m
network/HMM/bipartiteMatchingIntProg.m
network/HMM/bipartiteMatchingIntProg.m~
network/HMM/block.m
network/HMM/cell2num.m
network/HMM/centeringMatrix.m
network/HMM/chi2inv.m
network/HMM/chisquared_histo.m
network/HMM/chisquared_prob.m
network/HMM/chisquared_readme.txt
network/HMM/chisquared_table.m
network/HMM/choose.m
network/HMM/clg_Mstep.m
network/HMM/clg_Mstep_simple.m
network/HMM/clg_prob.m
network/HMM/collapse_mog.m
network/HMM/colmult.c
network/HMM/colmult.mexglx
network/HMM/computeROC.m
network/HMM/compute_counts.m
network/HMM/condGaussToJoint.m
network/HMM/cond_indep_fisher_z.m
network/HMM/condgaussTrainObserved.m
network/HMM/condgauss_sample.m
network/HMM/conf2mahal.m
network/HMM/convertBinaryLabels.m
network/HMM/cross_entropy.m
network/HMM/cwr_demo.m
network/HMM/cwr_em.m
network/HMM/cwr_predict.m
network/HMM/cwr_prob.m
network/HMM/cwr_readme.txt
network/HMM/cwr_test.m
network/HMM/daojumosun.m
network/HMM/daojumosun222222.m
network/HMM/daojumosunjhsde111111.m
network/HMM/dhmm_em.m
network/HMM/dhmm_em_demo.m
network/HMM/dhmm_em_demo1.m
network/HMM/dhmm_em_online.m
network/HMM/dhmm_em_online_demo.m
network/HMM/dhmm_logprob.m
network/HMM/dhmm_logprob_brute_force.m
network/HMM/dhmm_logprob_path.m
network/HMM/dhmm_sample.m
network/HMM/dhmm_sample_endstate.m
network/HMM/dirKPM.m
network/HMM/dirKPM.m~
network/HMM/dirichlet_sample.m
network/HMM/dirichletpdf.m
network/HMM/dirichletrnd.m
network/HMM/distchck.m
network/HMM/div.m
network/HMM/draw_circle.m
network/HMM/draw_ellipse.m
network/HMM/draw_ellipse_axes.m
network/HMM/eigdec.m
network/HMM/em_converged.m
network/HMM/entropy.m
network/HMM/est_transmat.m
network/HMM/exportfig.m
network/HMM/extend_domain_table.m
network/HMM/factorial.m
network/HMM/filepartsLast.m
network/HMM/filepartsLast.m~
network/HMM/find_equiv_posns.m
network/HMM/fit_paritioned_model_testfn.m
network/HMM/fit_partitioned_model.m
network/HMM/fixed_lag_smoother.m
network/HMM/fixed_lag_smoother_demo.m
network/HMM/foptions.m
network/HMM/fwdback.m
network/HMM/fwdback.m~
network/HMM/fwdback_xi.m
network/HMM/fwdprop_backsample.m
network/HMM/fwdprop_backsample.m~
network/HMM/gamma_sample.m
network/HMM/gausshmm_train_observed.m
network/HMM/gaussian_prob.m
network/HMM/gaussian_sample.m
network/HMM/genpathKPM.m
net

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