搜索资源列表
HMM
- 吉林大学时小虎老师机器学习课件——介绍隐马尔可夫模型-Jilin University, when the Tigers a teacher machine learning courseware- Introduction to Hidden Markov Model
dtkirsch-hmm-v0.2.0-0-g7feffa1
- 这是一个Ruby机器学习项目中本地实现广义隐马尔可夫模型的分类。目前，它能够监督学习和Viterbi解码。-This project is a Ruby gem ( hmm ) for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of
Before-and-after-to-the-algorithm
- C实现的hmm模型当中的前后向算法,做语音，人工智能，机器学习的人不会陌生-Before and after the the hmm model were implemented in C algorithm to do the voice, artificial intelligence, machine learning
nlu_project
- 采用机器学习的方法进行自然语言处理，对中文进行分词和词性标注。分词采用crf模型，词性标注用hmm模型，解码算法为Vertibi算法。本系统使用java语言编写-Using machine learning methods for natural language processing, carried out on the Chinese word segmentation and POS tagging. Segmentation
spider20060724
- 机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn
0nlu_project
- 本系统使用java语言编写,采用机器学习的方法进行自然语言处理，对中文进行分词和词性标注。分词采用crf模型，词性标注用hmm模型，解码算法为Vertibi算法。-The system uses java language, using machine learning methods for natural language processing, for Chinese word segmentation and POS taggi
caffe-master
- hmm这个是很好用的饿一个hmm机器学习的caffe-hmm model
pyhsmm-master
- 本源码是HSMM的Python包，HSMM是HMM的一个变种，主要用于模式识别，机器学习等-Python pakage for HSMM
uu333
- 是机器学习的例程，处理信号的时频分析，完整的基于HMM的语音识别系统。- Machine learning routines, When processing a signal frequency analysis, Complete HMM-based speech recognition system.
moulun_v46
- 滤波求和方式实现宽带波束形成，完整的基于HMM的语音识别系统，是机器学习的例程。- Filtering summation way broadband beamforming, Complete HMM-based speech recognition system, Machine learning routines.
hmm机器学习
- HMM(隐马尔科夫模型)是自然语言处理中的一个基本模型，用途比较广泛，如汉语分词、词性标注及语音识别等，在NLP中占有很重要的地位(HMM (hidden Markov model) is a basic model in Natural Language Processing, which is widely used, such as Chinese segmentation, part of speech tagging and
HMMbyMATLAB
- 隐马尔可夫模型，机器学习以及模式识别的初步学习方法，效果较好(HMM MATLAB code)