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本书对超限学习机近年来取得的各方面成果进行详细的阐述与分析。本书分为4个部分:第1部分(第1~2章)主要介绍超限学习机的基本概念与核心理论;第2部分(第3~4章)系统介绍超限学习机理论为应对数据分类、回归以及特征学习等重要机器学习任务所做的技术性调整;第3部分(第5~6章)主要介绍超限学习机的工程实现与领域应用案例;第4部分(第7章)对全书进行总结,并归纳出若干挑战性问题以待后续研究。本书附录部分为与超限学习机相关的数学基础知识,以便读者查阅。
This is a digital product.
超限学习机:理论、技术与应用 1st Edition is written by 邓宸伟,周士超 and published by China National Publications Import & Export (Group) Co., Ltd.. The Digital and eTextbook ISBNs for 超限学习机:理论、技术与应用 are BK4A53A11B9E, 9787115537423, 7115537429 and the print ISBNs are 9787115537423, 7115537429.
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