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.
资源简介: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 ...
上传时间: 2015-07-26
上传用户:赵云兴
资源简介:Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and th...
上传时间: 2020-06-10
上传用户:shancjb
资源简介: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 fas...
上传时间: 2014-01-19
上传用户:lindor
资源简介:machine learning
上传时间: 2015-02-05
上传用户:来茴
资源简介:Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
上传时间: 2015-04-19
上传用户:ahljj
资源简介:PLS计算 Cross-Validation模型计算
上传时间: 2015-06-12
上传用户:拔丝土豆
资源简介:Machine Learning with WEKA: An Introduction (讲义) 关于数据挖掘和机器学习的.
上传时间: 2013-12-27
上传用户:qq521
资源简介:算法实现:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
上传时间: 2015-08-29
上传用户:invtnewer
资源简介: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
上传时间: 2015-10-22
上传用户:stvnash
资源简介:Performs Principal Component Analysis cross validation to determine the true rank of an X-block.
上传时间: 2013-12-05
上传用户:aig85