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The book contains theory and applications of soft computing in engineering, health, social and applied sciences.... Læs mere
This book contains a collection of high-quality papers aimed at tackling... Læs mere
Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business. Recommender Systems: Algorithms... Læs mere
Transfer Learning through Embedding Spaces provides a brief background on transfer learning and then focus on the idea of transferring knowledge through... Læs mere
Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and... Læs mere
This text presents the main techniques of algorithm design, namely, divide-and-conquer algorithms, greedy algorithms, dynamic programming algorithms, and backtracking. Graph algorithms are studied in detail, and a careful treatment of the theory of NP-completeness is presented.
Inequality in a Context of Climate Crisis after COVID uses a complex realist approach to examine the crisis of three interconnected problems: economic inequality, climate change, and the COVID-19 pandemic.
Inequality in a Context of Climate Crisis after COVID uses a complex realist approach to examine the crisis of three interconnected problems: economic inequality, climate change, and the COVID-19 pandemic.
This book provides both theoretical and practical knowledge about artificial intelligence (AI) and swarm intelligence. It emphasizes... Læs mere
It presents analysis of both continuous and discrete Markov chains. It deals with concepts in a generic way, most books on Hidden Markov... Læs mere
This multi-contributed handbook will contain chapters covering IoT and Big Data, as well as case studies. The book will play a key role for the reader to understand the current scenario and growing paradigm.