搜索资源列表
stockfish-6-win
- stockfish 国际象棋引擎6.0源码。最近2015年所有比赛均排名第一，等级分达3316分。注释详细，是学习分析棋类AI最好源码。-Stockfish is a free UCI chess engine
Lab1_by_18531137a_94403623
- UCI I&C Sci 45J Lab1
Lab0
- UCI I&C Sci 45J Lab1
ddh_v1.0
- DDH垂直搜索引擎商业版，是目前互联网中唯一可以商业运作的垂直搜索引擎系统，由JAVA语言开发，可以运行在大规模集群中的网络信息整合系统。DDH整合Nutch（开源搜索引擎系统），UCI（网页信息抽取系统）和SOLR（企业级搜索应用服务器）。无论从可扩展性，系统的性能方面还是稳定性方面，DDH垂直搜索引擎系统，都可以算的上顶级垂直搜索引擎系统之一。-DDH vertical search engine business edition, is currently the only commerc
proj1_knn
- MATLAB实现的KNN 压缩文件包含m文件和wine.txt(机器学习著名的红酒数据集，下载自UCI大学机器学习数据集： http://archive.ics.uci.edu/ml/datasets/Wine） -knn wrote in MATLAB
BYS
- 该文件为Matlab上实现的贝叶斯分类算法，包含源码（含注释）、数据和运行结果。实例数据为UCI上下载的Iris数据包。-Bayesian classification algorithm developed in the Matlab,which contains the source code (including comments) and data(Iris Loaded the UCI), and operating results.
NN
- implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes-implementation of feed forward neural network for classification. using dataset UCI machine learning pima-diabetes
LMNN
- LMNN算法源码及UCI数据集测试，本人研究生科研学习代码。-the classification of enterprise’s public opinions the extraction of text feature LMNN algorithm Huber loss function.
SVMPKNN
- 自己编写的一个分类小程序，实现了SVM和KNN算法，附件带有UCI数据集中的一些测试数据。-I have written a small program classification, to achieve the SVM and KNN algorithm, the attachment with some test data UCI dataset.
Sphere-Cover-Classifier-master
- 用matlab编程实现随机球覆盖集成分类器算法，首先在UCI数据集上得到很好的结果，然后在6个基因表达数据集通过一个案例说明。-Implement random ball cover integrated classifier algorithm using matlab programming, first get good results on UCI data set, and then in six gene expression data sets through a case des
K-Means-master
- 模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
Ethereal-master
- 强大的国际象棋引擎，采用位棋盘结构，支持UCI协议-Powerful chess engine, using bitboard structure to support UCI protocol
Absolute-Zero-master
- 强大的国际象棋引擎源码，机器学习非常有参考价值，编码规范，支持多线程。UCI/standalone 棋盘。 -Powerful chess engine source code, machine learning is very valuable, coding standards support multi-threading. UCI/standalone board.
perceptron
- 自己编写的用感知器算法分类UCI数据集中的iris数据集-UCI classification by perception algorithm dataset iris data set
Abalone
- UCI数据集中的Abalone数据集，可以直接在MATLAB中使用。-UCI dataset Abalone data set can be used directly in MATLAB.
Read_LibSVM_files_in_R
- Read LibSVM files using R. LibSVM is a MATLAB based library of UCI repository Data Sets. You can convert the data sets to R using this code
stockfish-8-src
- 国际象棋引擎源代码，可加载GUI实现人机对战及分析(just the Stockfish engine. You will need to use your own UCI-compatible chess program.)
NBC(1)
- 利用朴素贝叶斯对UCI 的 mushroom 数据集进行分类，使用MATLAB编码(Using naive Bias, the mushroom data sets of UCI are classified and encoded using MATLAB)
SharpClassifier_Adult-master
- 利用朴素贝叶斯分类方法将UCI的adult数据集进行分类(The adult dataset of UCI was classified by the naive bayesian classification method)
kmediod
- k-mediod、knn、uci数据集。 数据挖掘、机器学习中的经典聚类、分类算法(K-mediod, KNN, and UCI data sets. Data mining and classical clustering and classification algorithms in machine learning)