搜索资源列表
getTransitionMatrix
- 已知一串Markov Chain，通过代码得到他的Transition Matrix.-Known bunch of Markov Chain, through the code to get his Transition Matrix.
HMM
- 隐马尔可夫模型源代码，对于语音信号识别有很好的作用-Hidden Markov model source code for speech signal recognition have a good effect
Automatica
- 应用于移动传感器网络的高效贝叶斯空间预测方案-Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
HMM_Matlab-m-Files
- HMM (Hidden Markov Model ) Matlab m-Files-HMM (Hidden Markov Model ) Matlab m-Files
energie_cliquesIsing2
- click energie of image , we can use it to calculate markov field ... and other
abababmarkov
- 自己写的一个马尔科夫转移状态的求解程序，对于学习马尔科夫决策的人或许有用-To write a Markov transition state solver for learning Markov Decision person may be useful
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, adaboost, bagging, hmm (hidd
HMM-C-Algorithm
- 隐马尔可夫模型的C语言实现，人工智能算法领域的参考资料。-Hidden Markov Model C language, artificial intelligence algorithms field reference.
alchemy-2.tar
- markov逻辑网的实验工具包alchemy-markov logic networks alchemy lab kit
BP-predict
- 针对中长期电力负荷预测样本量小、多因素影响的特点,利用灰色关联度筛选影响因素,建立基于BP 神经网络算法的负荷预测模型,通过多因素变量及历史负荷变量序列进行滚动预测,得到的预测值明显优于 单一预测方法,并通过马尔可夫过程对预测残差进行修正,使预测精度得到较大提高,研究实证表明,这种预 测方法具有进行推广应用的价值 -For long-term load forecasting small sample size, the characteristics of many facto
Contourlet-HMT
- 基于 系数分布统计特性，结合隐马尔可夫树模型和贝叶斯准则提出一种新的图像分割算法 -Based on statistical properties of the distribution coefficient combined with hidden Markov tree model and Bayesian guidelines propose a new image segmentation algorithm
HMT
- 针对含噪图像增强问题, 提出一种基于小波域三状态隐马尔可夫树模型的方法 -For noise image enhancement problems, and puts forward three state based on wavelet domain hidden markov tree model method
EM-MRF-ICM
- 基于EM-马尔科夫随机场-ICM的图像分割程序，很好的学习代码-EM-based Markov random-ICM image segmentation procedures, good learning code
policyi
- 如何用matlab实现MDP中的值迭代算法或者策略迭代法-Markov decision process value iteration algorithm value iteration
Fifield-RemoteOperatingSystemDetection
- A non-parametric method for texture synthesis proposed. The texture synthesis process grows a new image outward from an initial seed, one pixel at a time. A Markov random field model is assumed, and the conditional distribution of a pixel giv
HuntLinKulkarni-PredictingCourseGrades
- Most recent approaches have posed texture synthesis in a statistical setting as a problem of sampling from a probability distribution. Zhu et. al. [12] model texture as a Markov Random Field and use Gibbs sampling for synthesis. Unfortunately,
3STATSMS
- 基于马尔科夫链概念，3状态概率转移矩的matlab实现-Based on the concept of Markov chain, the realization of the 3 stats matrix s transfer probability matrix in matlab
perez_98
- markov random field in C-markov random field in C++
Algoritmo-EM-Expo
- Process to do Markov Switching AR
dispatch
- Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The