搜索资源列表
hsmm
- 隐半马尔可夫模型，应用范围很广，我主要应用于大型网站访问行为异常检测的建模。
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
mattjj-matlab-hsmm-40a597a
- Bayesian-HSMM it is very useful. in fact, it extended tranditional HSMM. it contains a example, if you want to used it, please run demo.-a matalab code based on Bayesian-HSMM. it is very useful. in fact, it extended tranditional HSMM. it contains
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- 轴承全寿命数据的各种时域频域特征提取，包括17个时域和13个频域特征-Bearing a variety of life-cycle data in time domain frequency domain feature extraction
HTS-2.1_for_HTK-3.4
- HTS version 2.1 includes hidden semi-Markov model (HSMM) training/adaptation/synthesis, speech parameter generation algorithm considering global variance (GV), SMAPLR/CSMAPLR adaptation, and other minor new features.
hsmm_0.3-5.tar
- Hidden SemiMarkov models 主要是改进HMM存在状态保持时间的局限性，引入了持续时间的函数显式表达-Hidden SemiMarkov models was mainly to improve HMM state of existence to maintain the limitations of time, the introduction of an explicit function of the duration of expression of
HSMM
- 实现HMM的前向算法,作为HMM三个算法的一部分，其他的包括检测算法和训练算法。-finish the forward of HMM，it is one part of three Arithmetic of HMM.
IMPLEMENTING-AN-HSMM-BASED-SPEECH-SYNTHESIS-SYSTE
- Hidden Markov model based text to speech
HSMM程序
- 用一种显示状态驻留时间HMM（EDHMM），也称HSMM，做的一个例子，内容很详细
hsmmInitialize
- for creating hsmm mode, you need some initialization code. hsmm initialization code can generate your hsmm model.
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
hsmm_new12
- HSMM的计算功能实现在原来HMM的基础上解决了时间的限制，适用性更强-HSMM computing function of the original HMM solve the limit of time, on the basis of stronger applicability
HSMM
- 隐半马尔科夫模型实现代码,包括三个文档：初始化、前向后向算法，文档中对参数都有详尽解释-hidden semi-Markov model realization
HSMM
- 基础的HSMM，输出预测参数置及对应PFD方程-Based HSMM, set output parameter and the corresponding prediction equation PFD
hsmm_new
- hsmm的matlab例子，提供了各种说明函数，注释丰富-hsmm matlab example
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
Schmidt-Segmentation (HMM heart sound)-Code-master
- Matlab code for the Schmidt HMM-based heart sound segmentation. An example of the implementation of this code can be found in “run_Example_Schmidt_scr ipt.m”. This code is derived from the paper: S. E. Schmidt et al., "Segmentation of heart s
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- 此为HSMM算法的实现代码，只要修改初始参数就可以运行，希望多多交流(This is the implementation code of the HSMM algorithm. It can be run as long as the initial parameters are modified. It is hoped that there will be more exchanges.)
Bayesian and HSMM
- 贝叶斯HSMM 主要是改进HMM存在状态保持时间的局限性，引入了持续时间的函数显式表达，用贝叶斯概率估计((Bayesian and HSMM was mainly to improve HMM state of existence to maintain the limitations of time, the introduction of an explicit function of the duration of expression of))
HSMM
- 隐半马尔科夫模型matlab算法,改进的隐马尔可夫模型，增加了状态停留时间(hidden semi-markvo model Add state duration)