Machine learning is a broad and fascinating field. Even
today, machine learning technology runs a substantial part of your
life, often without you knowing it. Any plausible approach to artifi-
cial intelligence must involve learning, at some level, if for no other
reason than it’s hard to call a system intelligent if it cannot learn.
Machine learning is also fascinating in its own right for the philo-
sophical questions it raises about what it means to learn and succeed
at tasks.
资源简介:Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at som...
上传时间: 2020-06-10
上传用户:shancjb
资源简介: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.
上传时间: 2013-12-06
上传用户:小宝爱考拉
资源简介:将军——一种新的求解大规模问题的支持向量机程序(软件)。A Large Scale Machine Learning Toolbox
上传时间: 2013-12-14
上传用户:zq70996813
资源简介:a function inside machine learning
上传时间: 2017-02-27
上传用户:alan-ee
资源简介:This book is a general introduction to machine learning that can serve as a reference book for researchers and a textbook for students. It covers fundamental modern topics in machine learning while providing the theoretical basis and concep...
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:AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-cod...
上传时间: 2014-01-15
上传用户:qiaoyue
资源简介:AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
上传时间: 2013-12-31
上传用户:jiahao131
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:In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to realize outdoor independent learning for mobile learners. The mobile butterfly-watching learning system was designed in a wireless mobile a...
上传时间: 2014-11-26
上传用户:waizhang