文件名称:nbem.tar
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Naive bayes classifer的具体实现,使用多模态事件模型表示,提供EM算法用于半监督和无监督学习,最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised learning
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下载文件列表
openpr-nbem/
openpr-nbem/nbem_ssl.cpp
openpr-nbem/NBEM.h
openpr-nbem/NBEM.cpp
openpr-nbem/nb_classify.cpp
openpr-nbem/NB.h
openpr-nbem/data/
openpr-nbem/data/unlabel.samp
openpr-nbem/data/test.samp
openpr-nbem/data/train.samp
openpr-nbem/data/class.set
openpr-nbem/data/term.set
openpr-nbem/LICENSE
openpr-nbem/nb_learn.cpp
openpr-nbem/README
openpr-nbem/Makefile
openpr-nbem/NB.cpp
openpr-nbem/nbem_usl.cpp
openpr-nbem/nbem_ssl.cpp
openpr-nbem/NBEM.h
openpr-nbem/NBEM.cpp
openpr-nbem/nb_classify.cpp
openpr-nbem/NB.h
openpr-nbem/data/
openpr-nbem/data/unlabel.samp
openpr-nbem/data/test.samp
openpr-nbem/data/train.samp
openpr-nbem/data/class.set
openpr-nbem/data/term.set
openpr-nbem/LICENSE
openpr-nbem/nb_learn.cpp
openpr-nbem/README
openpr-nbem/Makefile
openpr-nbem/NB.cpp
openpr-nbem/nbem_usl.cpp
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