搜索资源列表
Bayesian%20Networks
- 贝叶斯学习的指导，通过它可以了解该数据挖掘的方法-Bayesian learning guide, which can understand the data mining method
bayesmean
- 一个matlab程序，有关已知方差的高斯分布的均值贝叶斯学习方法。详见程序内说明。-a Matlab procedures, the known variance of the Gaussian distribution of the mean Bayesian learning methods. See Note procedures.
Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation paramete
machineLearningPPT
- 机器学习，完整PPT资料从引言到神经网络，贝叶斯学习，遗传算法等-machine learning PPT，bayesian learning， neural network and genetic algorithm
BNT_SLP.tar
- 动态贝叶斯网络结构学习算法，用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上-Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental matlab 6.1 or above
Bayesian-machine-learn-data-mining
- 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
bblocks-1.1.1
- The library is a C++/Python implementation of the variational building block framework introduced in our papers. The framework allows easy learning of a wide variety of models using variational Bayesian learning
SEM
- structure EM算法 bayesian network structure learning-structure EM algorithm for bayesian network structure learning
reinforcement
- 贝叶斯学习与强化学习结合技术的研 详细介绍了强化学习的算法和理论-Bayesian learning and reinforcement learning combined with the technical details of the study of reinforcement learning algorithms and theory
ijcai99-LearningBayesianNetworks
- Learning Bayesian NetworksWith Hidden Variables for User Modeling
Bayesian
- This document contains the details about Bayesian Learning. It can be very useful for Computer vision and adaptive system implementations
Bayesian
- 一个关于Bayesian Networks的教程。作者David HeckerMann，英文版-A Tutorial On Learning with Bayesian Networks. Author: David HeckerMann. English version
TSBL_code
- 稀疏贝叶斯学习的代码，出自UCLA，大家可以下载-sparse bayesian learning
Bayesian-learning-theory
- 贝叶斯学习理论使用概率去表示所有形式的不确定性，学习和推理都通过概率规则来实现。-Bayesian learning theory using the probability that all forms of uncertainty, learning and reasoning by probability rules . Bayesian learning , the results of the probability distribution of random variables ,
Machine-Learning
- 机器学习的课件，包括神经网络、决策树、贝叶斯学习、高级搜索等内容-Machine learning courseware, including neural networks, decision trees, Bayesian learning, Advanced Search
Bayesian
- 基于贝叶斯学习法的压缩感知信号重构的方法。-Bayesian learning method based on compressed sensing signal reconstruction method.
Bayesian-learning-
- 一个贝叶斯学习的matlab例程，可以直接运行，具体内容参考图书《视觉机器学习20讲》-A Bayesian learning matlab routines, you can run directly
bayesian-learning
- 贝叶斯学习和强化学习相结合，其中包含贝叶斯Q学习-bayesian learning combined with reinforcement learning
Machine Learning
- 机器学习经典书籍，Tom M. Mitchell所著。详细介绍了包括ANN，Bayesian学习等在内的机器学习的方法(Machine learning classic books, Tom, M., Mitchell by. The method of machine learning including ANN, Bayesian learning and so on is introduced in detail)
classical-machine-learning-algorithm-master
- bayesian, k-means, knn, SVM, The Apriori algorithm, expectation-maximization(EM), C4.5, page rank, AdaBoost, CART