LEARNING Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine LEARNING and how it relates to statistical inference. 1.1 The LEARNING Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
标签: Introduction Classifiers Algorithms introduces
上传时间: 2015-10-20
上传用户:aeiouetla
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
LEARNING Matlab for student,English version,专业权威。
标签: LEARNING English student version
上传时间: 2013-12-17
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LEARNING.SQL 是一本基本数据库操作指南,他融合了数据库的创建与查询以及维护
上传时间: 2013-12-27
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O Reilly publishing company,<<LEARNING the Unix OS>>,chm,English.
标签: publishing LEARNING English company
上传时间: 2015-11-04
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< LEARNING Perl>> published by O Reilly & Associates, the complete reference book on the language. English.
标签: Associates published the reference
上传时间: 2015-11-04
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Multiple INstance LEARNING Library
标签: Multiple INstance LEARNING Library
上传时间: 2014-02-18
上传用户:fredguo
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
关于 linux密钥的一些安全介绍 #ifndef COMMON_H #define COMMON_H #define MY_PROC_INTERFACE "/proc/LEARNING-key/gateway" #define FRESH_SESSION _IO( C ,1) #define SUCCESS 0 #define FAILURE 1 #endif
标签: COMMON_H define MY_PROC_INTERFACE LEARNING
上传时间: 2015-11-19
上传用户:叶山豪
c++ LEARNING 讲授对于初学者有很大帮助,对于熟悉着可以参考下
上传时间: 2015-11-20
上传用户:cxl274287265