资源列表
easy
- easy.py is the the libsvm Support Vector Machine Regression grid search algorithm
Ant_Colony_Optimization_(B)_2004
- 介绍蚁群优化算法的一本书，希望对大家有用处。-The ant colony optimization algorithm and a book, useful
30975921VCAntTSP
- 介绍TSP蚁群算法的源码，欢迎大家下载，希望有用-TSP ant colony algorithm source code, download, seek to help
DMProject
- 针对微博短文本话题聚类算法，采用K-means,DBSCAN等聚类算法-Clustering algorithm for the short version of the microblogging topic
SOMface_demo
- 基于自组织神经网络的人脸识别代码 X.Tan, S.Chen, Z.-H. Zhou, and F. Zhang, Recognizing Partially Occluded, Expression Variant Faces from Single Training Image per Person with SOM-Based kNN Ensemble. IEEE Transactions on Neural Networks.2005, 16(4): 875-886.-X.Tan,
Programs
- 都是自己实现的代码 自认为代码较同类短 实现清晰 效率很高 故传上来分享 HLPP 最高标号预留推进 网络流最好算法之一 DynamicTree 动态树 树上维护数据的终极算法 SAM 后缀自动机 多模式串线性处理 例题:CTSC2012 熟悉的文章 最后匈牙利 匹配算法-Code are realized since that clear and efficient code than similar short it pass up sharing the the HLPP
Diversity-density-learning-algorithm
- 多示例学习是与监督学习、非监督学习和强化学习并列的第四类学习框架-Multi-instance learning with supervised learning, unsupervised learning and strengthen the learning parallel learning framework
data-mining-application-research
- 数据 挖掘就是面对海量的存储数据建立数学模型，找出隐含的业务规则和有价值的信 息，在实际应用中发挥作用 -Data mining is the face of vast amounts of stored data to a mathematical model to identify the implicit business rules and valuable information to play a role in practical applications
fuzzy-clustering-algorithm-for-web
- Web使用挖掘是从Web日志中挖掘用户访问模式和知识。分析和探索日 志中的规律能够确认电子商务中的潜在用户、提高信息服务的质量和提高 Web服务系统的性能。 -Web usage mining is mining user access patterns and knowledge from Web logs. Analysis and explore the laws of the log to be able to confirm the potential users of e
Association-rules-mining-algorithms
- 关联规则的数据挖掘是数据挖掘技术中非常重要和有应用前景的一种技术，一直是近几年来数据挖掘研究和应用领域活跃的前沿 -Data mining of association rules is very important and the application prospect of a technique in data mining technology, has been active in the forefront of recent years data mining researc
classification-of-decision-tree
- 寻找新的构造决策树和简化决策树的方法一直是决策树技术研究的一个热点。SLIQ 算法和 SPRINT 算法很好的解决了磁盘驻留数据太大以至于无法被内存容纳带来的问题-Looking for new constructed decision tree and simplify the decision tree method has been a research focus of the decision tree technique. SLIQ algorithm and SPRINT algo
extension-learn-knowledge
- 详细分析了可拓方法在人工智能技术中 的应用，特别是它与知识表示和推理技术的密切联系。由此，提出了可拓知 识表示方法的形式化定义，并且将它与原有的几种知识表示方法进行了详细 的比较。 -Detailed analysis of the extension method in artificial intelligence technology, especially with the knowledge representation and reasoning techniques