Feature selection is a preprocessing technique frequently used in data mining and machine learning t
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce ...
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Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce ...
list of matlab m-files on matlab 7.0. learning , support vector machine and some utility routines : autocorrelation, lin...
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert...
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert...
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the hi...
决策树,Machine Learning, Tom Mitchell, McGraw Hill,第3章决策树源码
算法实现:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
Pattern Recognition and Machine Learning Bishop-.pdf 非常好的一本书, pattern recognition 必读
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besid...
Machine Learning with WEKA: An Introduction (讲义) 关于数据挖掘和机器学习的.