搜索资源列表
beiyes_result
- 贝叶斯分类器:利用贝叶斯分类器的原理对从UCI数据库中下载的心脏病数据集进行分类-Bayes classifier utilizing the data set classification,Bayes classifier utilizing the principle of the downloaded the UCI classification datasets heart disease
sjwj
- 利用数据挖掘分类器的原理对从UCI数据库中下载的心脏病数据集进行分类-The principles of data mining classifier downloaded UCI dataset heart disease classification
dataset_100225
- 这个是从UCI上找到的德国信用数据集,里面有原数据和数值化后的数据,还有对数据的介绍三个文档,可用于分析。-German credit dataset.
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,
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 res
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 pim
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 expressio
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.)