搜索资源列表
htk-3.2.1-windows-binary
- 隐马尔科夫模型工具箱windows可执行版本，可以广泛应用于识别等领域-HMM Toolbox windows executable version can be widely applied in areas such as identification
hsmm_new
- 提供HSMM隐半马尔科夫的前向后向算法。可用于模式识别-Hidden semi-Markov providing HSMM back to the first algorithm. Can be used for pattern recognition
HTK-3.4.1
- 非常有用，功能强大的基于隐马尔科夫模型的语音识别工具箱，可在此基础上进行再开发，对于从事语音信号处理的工作人员有很好的参考价值。-Very useful and powerful hidden Markov model based speech recognition toolkit, can be re-developed on this basis, in the speech signal processing for the staff have a good reference val
PoS-Tagging-based-on-HMM
- 基于隐马尔科夫的中文词性标注系统的C++源代码，包括训练集和测试集语料库，单词量和词性数目都没有写死，可适应任意大的训练和测试数据集，程序已经过优化，一次标注只需要不到10秒的时间。-Based on Hidden Markov of the Chinese part of speech tagging system in C++ source code, including the training set and test set corpus, vocabulary and speech
MarkovModel
- 爱情的隐式马尔可夫模型 ImplicitloveMarkovModel-Implicit love Markov Model
HiddenMarkovModel
- 隐马尔科夫过程的matlab代码，可用于流量建模-Matlab code of the hidden Markov process can be used for traffic modeling
CwordSegmenth
- 汉语分词 隐马尔科夫模型 最大大匹配法 最大概率法可直接使用。 -The Chinese word hidden Markov model maximum probability of large matching method can be used directly.
HMM
- 隐马尔科夫模型的matlab工具箱，可用于语音识别、步态识别等人工智能研究领域-Hidden Markov model matlab toolbox, can be used for speech recognition, gait recognition research fields such as artificial intelligence
HSMM
- 隐半马尔可夫模型，只要替换原有的参数就能计算。可以用于模式识别，剩余寿命预测等-Half hidden markov model, as long as replacing the original parameters can be calculated. Can be used in pattern recognition, the residual life prediction, etc
Markov
- Java实现的一个隐马尔科夫模型，该模型可用于一般的教学，相比其他的大型的HMM库更容易理解。-A hidden Markov model implemented in Java, this model can be used for general education, compared to other large HMM library easier to understand.
HMM_EM
- Hadoop隐马尔科夫模型的实现，有训练算法（EM）,产生的模型参数可以用来单机使用，亲测可用，可供正在学习hadoop的同学参考-Implement Hadoop hidden Markov model, there are training algorithm (EM), the model parameters can be used to produce stand-alone use, pro-test available for reference students are lear
New-folder
- 自然语言处理中的隐尔可夫马中文分词方法，利用java实现-NLP, using HMM to automatic word segmentation