找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Models of Learning; Leonard Bolc Book 1987 Springer-Verlag Berlin Heidelberg 1987 artificial intelligence.heuristics.intelli

[复制链接]
查看: 52361|回复: 37
发表于 2025-3-21 18:28:19 | 显示全部楼层 |阅读模式
书目名称Computational Models of Learning
编辑Leonard Bolc
视频video
丛书名称Symbolic Computation
图书封面Titlebook: Computational Models of Learning;  Leonard Bolc Book 1987 Springer-Verlag Berlin Heidelberg 1987 artificial intelligence.heuristics.intelli
描述In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems. .Computational Models of Learning. supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.
出版日期Book 1987
关键词artificial intelligence; heuristics; intelligence; knowledge; learning; machine learning; optimization
版次1
doihttps://doi.org/10.1007/978-3-642-82742-6
isbn_softcover978-3-642-82744-0
isbn_ebook978-3-642-82742-6
copyrightSpringer-Verlag Berlin Heidelberg 1987
The information of publication is updating

书目名称Computational Models of Learning影响因子(影响力)




书目名称Computational Models of Learning影响因子(影响力)学科排名




书目名称Computational Models of Learning网络公开度




书目名称Computational Models of Learning网络公开度学科排名




书目名称Computational Models of Learning被引频次




书目名称Computational Models of Learning被引频次学科排名




书目名称Computational Models of Learning年度引用




书目名称Computational Models of Learning年度引用学科排名




书目名称Computational Models of Learning读者反馈




书目名称Computational Models of Learning读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:23:52 | 显示全部楼层
发表于 2025-3-22 03:50:10 | 显示全部楼层
发表于 2025-3-22 06:05:06 | 显示全部楼层
发表于 2025-3-22 12:20:08 | 显示全部楼层
发表于 2025-3-22 13:57:09 | 显示全部楼层
发表于 2025-3-22 17:17:31 | 显示全部楼层
Supercharging of Internal Combustion Enginesr finding two-variable relations. Finally, we introduce the notions of intrinsic properties and common divisors, and examine methods for inferring intrinsic values from symbolic data. In each case, we describe the various techniques in terms of the search required to discover useful laws.
发表于 2025-3-22 23:38:48 | 显示全部楼层
发表于 2025-3-23 01:53:26 | 显示全部楼层
发表于 2025-3-23 08:32:21 | 显示全部楼层
Book 1987 in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broade
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-24 09:25
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表