Optimization in Machine Learning and Applications
暫譯: 機器學習中的優化與應用

Kulkarni, Anand J., Satapathy, Suresh Chandra

Optimization in Machine Learning and Applications
  • 出版商: Springer
  • 出版日期: 2019-12-10
  • 售價: $7,160
  • 貴賓價: 9.5 折 $6,802
  • 語言: 英文
  • 頁數: 197
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 981150993X
  • ISBN-13: 9789811509933
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.

商品描述(中文翻譯)

本書探討人工智慧的主要應用之一：利用機器學習從多模態數據中提取有用信息。它討論了幫助最小化模式和分類開發中誤差的優化方法，進而改善預測和決策。書中還呈現了現實世界機器學習問題的公式，並討論了作為獨立或混合方法的人工智慧解決方案方法論。最後，它提出了新穎的元啟發式方法來解決複雜的機器學習問題。本書提供了寶貴的見解，幫助讀者探索通向多學科研究討論的新途徑。

作者簡介

Anand J. Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore; an M.S. in AI from the University of Regina, Canada; and Bachelor of Engineering from Shivaji University, India. He worked as a Research Fellow on a cross-border supply-chain disruption project at Odette School of Business, University of Windsor, Canada. Currently, he is the Head and an Associate Professor at the Symbiosis Institute of Technology, Pune, India. His research interests include optimization algorithms, multiobjective optimization, multiagent systems, complex systems, swarm optimization, game theory, and self-organizing systems. He is the founder and Chairman of the OAT Research Lab. Anand has published over 40 research papers in peer-reviewed journals and conferences as well as two books.

Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT, Odisha, India. Previously, he was a Professor and the Head of the Department of CSE at ANITS, AP, India. He received his Ph.D. in CSE from JNTU, Hyderabad, and M.Tech. in CSE from the NIT, Odisha. He has more than 27 years of teaching and research experience. His research interests include machine learning, data mining, swarm intelligence and applications. He has published more than 98 papers in respected journals and conferences and has edited numerous volumes for Springer AISC and LNCS. In addition to serving on the editorial board of several journals, he is a senior member of the IEEE and a life member of the Computer Society of India, where he is the National Chairman of Division-V (Education and Research).

作者簡介(中文翻譯)

Anand J. Kulkarni 擁有新加坡南洋理工大學的分散優化博士學位，加拿大雷吉納大學的人工智慧碩士學位，以及印度希瓦吉大學的工程學士學位。他曾在加拿大溫莎大學的奧黛特商學院擔任研究員，參與跨境供應鏈中斷項目。目前，他是印度浦那的共生科技學院的院長及副教授。他的研究興趣包括優化演算法、多目標優化、多智能體系統、複雜系統、群體優化、博弈論和自組織系統。他是OAT研究實驗室的創始人和主席。Anand已在同行評審的期刊和會議上發表了超過40篇研究論文，並出版了兩本書籍。

Suresh Chandra Satapathy 是印度奧迪沙州KIIT計算機工程學院的教授。之前，他是印度安得拉邦ANITS計算機科學與工程系的教授及系主任。他在海得拉巴的JNTU獲得計算機科學與工程博士學位，在奧迪沙的NIT獲得計算機科學與工程碩士學位。他擁有超過27年的教學和研究經驗。他的研究興趣包括機器學習、資料探勘、群體智慧及其應用。他在多個受尊敬的期刊和會議上發表了超過98篇論文，並為Springer AISC和LNCS編輯了多本專輯。除了擔任多個期刊的編輯委員會成員外，他還是IEEE的資深會員及印度計算機協會的終身會員，並擔任該協會第五部門（教育與研究）的全國主席。

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