machine learning
上传时间： 2015-02-05
上传用户：来茴
Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND machine learning by David E. Goldberg
标签： OPTIMIZATION ALGORITHMS LEARNING Programs
上传时间： 2015-04-19
上传用户：
machine learning with WEKA: An Introduction （讲义） 关于数据挖掘和机器学习的.
标签： Introduction Learning Machine with
上传时间： 2013-12-27
上传用户：qq521
machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based algorithms, discretization, lazy learning, bagging, MineSet.
标签： decision cross-validation estimation bootstrap
上传时间： 2015-07-26
上传用户：赵云兴
算法实现:Jieping Ye. Generalized low rank approximations of matrices. machine learning, Vol. 61, pp. 167-191, 2005.
标签： approximations Generalized Learning matrices
上传时间： 2015-08-29
上传用户：invtnewer
介绍随机森林(Random Forest)最早的,最经典文献!LEO BREIMAN.Random Forests.machine learning, 45, 5–32, 2001
标签： Random Learning BREIMAN Forests
上传时间： 2015-10-22
上传用户：stvnash
YASMET: Yet Another Small MaxEnt Toolkit (Statistical machine learning) 由Franz Josef Och编写，一个简短但非常经典的最大熵统计模型实现源码。
标签： Statistical Learning Another Machine
上传时间： 2015-11-17
上传用户：xiaodu1124
machine learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994
标签： C. D. D.J. Classification
上传时间： 2015-12-14
上传用户：日光微澜
machine learning Weka 数据变换，给Arff文件加载权值，变换为XRFF文件。
上传时间： 2015-12-16
上传用户：wxhwjf
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
标签： preprocessing frequently selection technique
上传时间： 2014-01-19
上传用户：lindor
