搜索资源列表
matlab作业
- 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
JavaBayes_src_v.0.346.2
- java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）-java prepared by the Bayesian network classifier (seemingly no model of the learning process and parameters)
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
winedata-bayers
- 对著名的UCI机器学习库的wine数据集做的朴素贝叶斯分类算法，包含详细源代码和实验报告，不可多得啊-Pairs of well-known UCI machine learning repository data set to do wine Naive Bayesian classification algorithm, with detailed source code and test reports, a rare ah
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
BNT_StructureLearning_v1.4.tar
- bayesian network structrue learning matlab program -bayesian network structrue learningmatlab program
bag_words_demo
- 一个学习自然场景类别的贝叶斯模型、基于“词袋”模型的目标分类。来源于Feifei Li的论文。是近年来的目标识别模型热点之一。-”A Bayesian Hierarchical Model for Learning Natural Scene Categories“ FeiFei Li.CVPR2005
patternRecognition
- 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability de
InferNet2.3
- Infer.NET is a .NET framework for machine learning. It provides state-of-the-art message-passing algorithms and statistical routines for performing Bayesian inference.
machine-learningPPT
- 书中主要涵盖了目前机器学习中各种最实用的理论和算法，包括概念学习、决策树、神经网络、贝叶斯学习、基于实例的学习、遗传算法、规则学习、基于解释的学习和增强学习等-The book mainly covers the current variety of the most practical machine learning theory and algorithms, including the concept of learning, decision trees, neural network
Sparse-Bayesian-Learning-and-rvm
- 稀疏贝叶斯学习和相关向量回归，大家可以看一下，人工智能中的应用-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at...
Adaptive-Online-Learning
- 基于EKF的神经网络自适应在线学习算法，包含例子和文档。-We show that a hierarchical Bayesian modeling approach allows us to perform regularization in sequential learning. We identify three inference levels within this hierarchy: model selection, parameter estimation, and
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
[codes]joint-bayesian
- 这个是联合贝叶斯网络，可以用来作为学习和理解的例子-This is a joint Bayesian network can be used as an example of learning and understanding
sblDecoder
- 贝叶斯学习的入门例子，一个混合余弦信号的重建-bayesian learning example
bayesian-belief-networks-master
- 方便进行贝叶斯网络的学习与推理,提供了多种方便好用的API(learning and reasoning based on Bayesian network)
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)
Pattern Recognition and Machine Learning
- 贝叶斯学派的机器学习书籍，主要讲解了模式识别和机器学习的基本入门方法。(The machine learning book of Bayesian school.)
NaiveBayesSpamFilter-master
- 利用朴素贝叶斯算法实现垃圾邮件的过滤，并结合Adaboost改进该算法(spam filter using Adaboost and Navie bayesian)
dlib-master
- networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks (Boost License)