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文件名称:IGMM

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  • 上传时间:
    2012-11-16
  • 文件大小:
    79.18kb
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基于Dirichlet过程的基因信号处理方法的研究-Dirichlet process based on the genetic signal processing method
相关搜索: iGMM Dirichlet 基因

(系统自动生成,下载前可以参看下载内容)

下载文件列表

crp/lp_crp.m
crp/lpnormalinvwish.m
crp/plot_mixture.m
crp/sampler.m
crp/test_sampler.m
distributions/@distribution/
distributions/@distribution/distribution.m
distributions/@distribution/lp.m
distributions/@distribution/p.m
distributions/@distribution/plot.m
distributions/@gaussian/
distributions/@gaussian/char.m
distributions/@gaussian/dimension.m
distributions/@gaussian/display.m
distributions/@gaussian/fit.m
distributions/@gaussian/gaussian.m
distributions/@gaussian/get.m
distributions/@gaussian/length.m
distributions/@gaussian/lp.m
distributions/@gaussian/multinomial.m
distributions/@gaussian/p.m
distributions/@gaussian/plus.m
distributions/@gaussian/private/
distributions/@gaussian/private/fvnlp.m
distributions/@gaussian/sample.m
distributions/@gaussian/set.m
distributions/@gaussian/subsasgn.m
distributions/@gaussian/subsref.m
distributions/@gaussian_mixture_model/
distributions/@gaussian_mixture_model/gaussian_mixture_model.m
distributions/@gaussian_mixture_model/plot.m
distributions/@gaussian_mixture_model/train.m
distributions/@linear_gaussian_conditional/
distributions/@linear_gaussian_conditional/char.m
distributions/@linear_gaussian_conditional/dimension.m
distributions/@linear_gaussian_conditional/display.m
distributions/@linear_gaussian_conditional/fit.m
distributions/@linear_gaussian_conditional/get.m
distributions/@linear_gaussian_conditional/linear_gaussian_conditional.m
distributions/@linear_gaussian_conditional/lp.m
distributions/@linear_gaussian_conditional/p.m
distributions/@linear_gaussian_conditional/plus.m
distributions/@linear_gaussian_conditional/private/
distributions/@linear_gaussian_conditional/private/fvnlp.m
distributions/@linear_gaussian_conditional/sample.m
distributions/@linear_gaussian_conditional/set.m
distributions/@mixture_model/
distributions/@mixture_model/char.m
distributions/@mixture_model/display.m
distributions/@mixture_model/fit.m
distributions/@mixture_model/get.m
distributions/@mixture_model/lp.m
distributions/@mixture_model/mixture_model.m
distributions/@mixture_model/p.m
distributions/@mixture_model/plus.m
distributions/@mixture_model/sample.m
distributions/@mixture_model/set.m
distributions/@mixture_model/subsref.m
distributions/@multinomial/
distributions/@multinomial/char.m
distributions/@multinomial/display.m
distributions/@multinomial/fit.m
distributions/@multinomial/get.m
distributions/@multinomial/length.m
distributions/@multinomial/lp.m
distributions/@multinomial/multinomial.m
distributions/@multinomial/p.m
distributions/@multinomial/private/
distributions/@multinomial/private/fvnlp.m
distributions/@multinomial/private/msum.m
distributions/@multinomial/sample.m
distributions/@multinomial/set.m
distributions/@multinomial/size.m
distributions/@multinomial/subsasgn.m
distributions/@multinomial/subsref.m
utilities/fvgp.m
utilities/fvnlp.m
utilities/fvnp.m
utilities/fvplp.m
utilities/fvpp.m
utilities/init_logger.m
utilities/logger_close.m
utilities/logger_init.m
utilities/logger_record.m
README.txt

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