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.
資源簡介: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 ...
上傳時間: 2015-07-26
上傳用戶:趙云興
資源簡介: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...
上傳時間: 2020-06-10
上傳用戶:shancjb
資源簡介: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...
上傳時間: 2014-01-19
上傳用戶:lindor
資源簡介:machine learning
上傳時間: 2015-02-05
上傳用戶:來茴
資源簡介:Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
上傳時間: 2015-04-19
上傳用戶:
資源簡介:PLS計算 cross-validation模型計算
上傳時間: 2015-06-12
上傳用戶:拔絲土豆
資源簡介:Machine Learning with WEKA: An Introduction (講義) 關于數據挖掘和機器學習的.
上傳時間: 2013-12-27
上傳用戶:qq521
資源簡介:算法實現:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
上傳時間: 2015-08-29
上傳用戶:invtnewer
資源簡介:介紹隨機森林(Random Forest)最早的,最經典文獻!LEO BREIMAN.Random Forests.Machine Learning, 45, 5–32, 2001
上傳時間: 2015-10-22
上傳用戶:stvnash
資源簡介:Performs Principal Component Analysis cross validation to determine the true rank of an X-block.
上傳時間: 2013-12-05
上傳用戶:aig85
資源簡介:用Cross validation的方法建立人工神經網絡的模型!
上傳時間: 2015-11-04
上傳用戶:chenjjer
資源簡介:YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och編寫,一個簡短但非常經典的最大熵統計模型實現源碼。
上傳時間: 2015-11-17
上傳用戶:xiaodu1124
資源簡介:Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994
上傳時間: 2015-12-14
上傳用戶:日光微瀾
資源簡介:Machine Learning Weka 數據變換,給Arff文件加載權值,變換為XRFF文件。
上傳時間: 2015-12-16
上傳用戶:wxhwjf
資源簡介:將軍——一種新的求解大規模問題的支持向量機程序(軟件)。A Large Scale Machine Learning Toolbox
上傳時間: 2013-12-14
上傳用戶:zq70996813
資源簡介:booster-tree a machine learning method
上傳時間: 2014-06-09
上傳用戶:龍飛艇
資源簡介:Pattern Recognition and Machine Learning Bishop-.pdf 非常好的一本書, pattern recognition 必讀
上傳時間: 2014-05-31
上傳用戶:qoovoop
資源簡介:AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
上傳時間: 2013-12-06
上傳用戶:小寶愛考拉
資源簡介:GCV Generalized cross-validation.廣義交叉校驗,用做非線性時間序列的計算,非常有用,找了好久才找到的。不要錯過機會哦
上傳時間: 2016-09-03
上傳用戶:ywqaxiwang
資源簡介:machine learning related paper from msra
上傳時間: 2016-09-19
上傳用戶:wyc199288
資源簡介:Pattern Recognition and Machine Learning,模式識別與機器學習,這是學習機器學習的一本好書
上傳時間: 2016-10-29
上傳用戶:wqxstar
資源簡介:Pattern Recognition and Machine Learning Solutions to the Exercises,模式識別與機器學習的答案
上傳時間: 2014-01-13
上傳用戶:417313137
資源簡介:Bishop 經典的Pattern Recognition and Machine Learning的課后題指導 相信對學習模式識別的朋友會有幫助
上傳時間: 2013-12-26
上傳用戶:ynsnjs
資源簡介:Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufma
上傳時間: 2013-12-21
上傳用戶:jiahao131
資源簡介:Machine Learning in Computer Vision - N. SEBE
上傳時間: 2013-12-15
上傳用戶:410805624
資源簡介:PRINCIPLE: PLS cross-validation using the SIMPLS or WIMPLS algorithm, respectively for tall or wide X-data. The optimal approach is selected automatically.
上傳時間: 2016-11-27
上傳用戶:a673761058
資源簡介:pattern recognition and machine learning 最經典的書
上傳時間: 2014-01-27
上傳用戶:lvzhr
資源簡介:machine learning in computer vision 計算機視覺中的機器學習 外文經典計算機視覺教程
上傳時間: 2017-02-07
上傳用戶:huyiming139
資源簡介:a function inside machine learning
上傳時間: 2017-02-27
上傳用戶:alan-ee
資源簡介:machine learning algorithm, it is to optimize the model and improve the function
上傳時間: 2017-03-04
上傳用戶:釣鰲牧馬