搜索资源列表
Buterfly
- Artificial intelligence with Reinforcement learning.
slt-and-SVM
- 统计学习理论和SVM(支持向量机).ppt统计学习理论和SVM(支持向量机).ppt-Statistical learning theory and SVM (support vector machine). Ppt statistical learning theory and SVM (support vector machine). Ppt
SuttonBArtoReinforcementlearning
- sutton and barto books on reinforcement learning
MachineLearning
- machine learning 中文版-machine learning
192010k-average
- kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can impro
Q_learning
- 强化学习是人工智能中策略学习的一种，基于预期最大利益原则。和博弈论有密切的关系，也是多主体系统学习的常用方法。-Reinforcement learning is a kind of artificial intelligence in the strategic study, based on the principle of best interests is expected. And game theory are closely related, but also multi-agen
fuzzy
- 该书是关于模糊控制和matlab语言的应用的一本书，将matlab与实际相结合，对学习matlab的同学有很好的帮助。-This book is on the matlab language of fuzzy control and application of a book, matlab with the actual combination of learning matlab students have a good help.
Visual-Basic-learning
- VB learning ebook,word 格式 -VB learning ebook, word format
ipca
- 第二种增量的主成分分析算法，能够增量地获取高维数据的主成分。-《Incremental PCA or On-Line Visual Learning and Recognition》
LearningOpenCV
- Learning OpenCV 书中的源代码。 -Source codes from the book learning OpenCV
Backpropagation_Learning(Multilayer_NN)
- Neural network source code with 2 learning process using backpropagation algorithms.
Checker
- 经典的西洋跳棋程序。 运用机器学习方法实现人机对弈。 方便大家学习。-Classic checkers program. The use of machine learning methods to achieve human-computer chess. To facilitate them to learn.
Ubuntu.Linux.Bible
- 《Ubuntu Linux宝典》，该电子书是学习Ubuntu Linux的经典著作，是学习Linux的重要资源，推荐参考学习。-"Ubuntu.Linux.Bible," the e-book to learn the classic Ubuntu Linux, is an important resource for learning Linux is recommended for reference study.
HMM
- 吉林大学时小虎老师机器学习课件——介绍隐马尔可夫模型-Jilin University, when the Tigers a teacher machine learning courseware- Introduction to Hidden Markov Model
svm_rank.tar
- Learning to Rank的一个方法，把排序问题转换成了一个分类问题，然后用支持向量机（SVM）训练出一个模型来。-Learning to Rank of a way to sort problem is transformed into a classification problem, and then use support vector machine (SVM) to train a model.
gmm
- Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
mlr
- Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
RL
- 采用vs2008 c#编写 Q-Learning强化学习的代码实现 状态空间5维，动作空间5维-Using vs2008 c# Q-Learning reinforcement learning the code to achieve the state-space five-dimensional, five-dimensional action space
face_detection
- implementation of feedforward neural network to recognize the faces with sunglasses from open faces.data source is from machine learning book by mitchell
Back-propagation_NN
- BP neural network implementation with generalized delta learning rule and momentum-BP neural network in Matlab