書籍詳情
格式
平裝書
頁數
280
語言
英語
已出版
Apr 5, 2020
出版商
Springer
版本
1st ed. 2020
ISBN-10
9811543003
ISBN-13
9789811543005
描述
This collection presents the scholarly contributions from the First Symposium on Machine Learning and Metaheuristics Algorithms, held in Trivandrum, India, in December 2019. It encapsulates the latest advancements and innovative applications in the fields of machine learning and metaheuristics, reflecting the ongoing dialogue and research among leading experts. The proceedings are carefully curated, ensuring a balance between high-quality theoretical foundations and real-world applications, making it relevant for both academics and industry practitioners.
Readers will discover insightful discussions surrounding various algorithms, methodologies, and their potential implications across different domains. The collaboration among distinguished authors enriches the text, fostering a comprehensive understanding of these rapidly evolving fields. The focus not only on theoretical approaches but also on practical case studies highlights the transformative power of machine learning and optimization techniques, positioning this volume as a significant resource for anyone engaged in research or applied practices in computer and information science.
Readers will discover insightful discussions surrounding various algorithms, methodologies, and their potential implications across different domains. The collaboration among distinguished authors enriches the text, fostering a comprehensive understanding of these rapidly evolving fields. The focus not only on theoretical approaches but also on practical case studies highlights the transformative power of machine learning and optimization techniques, positioning this volume as a significant resource for anyone engaged in research or applied practices in computer and information science.