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This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine... Læs mere
This comprehensive book offers valuable insights while using a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security.
Machine learning, one of the top emerging sciences, has an extremely broad range of applications.
Reviewing classical methods, realistic models, and algorithms, this book offers an introduction to scheduling. This book includes topics such as online scheduling, stochastic... 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.
From Parallel to Emergent Computing provides a visionary statement on how computing will advance in the next 25 years and what new fields of science will be involved... Læs mere
This book presents the basics of Discrete Mathematics and its applications to day-to-day problems in several areas. This book is... Læs mere
This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.
The first book devoted to the crossing number, an increasingly popular object of study with surprising connections. The field has matured into a large body of work, which... Læs mere
This text provides a hands-on introduction to writing software in Python, with no prior programming experience required. It offers sections designed for... Læs mere
This book discusses in-depth role of optimization to optimize the controller parameters. Many comparative studies to evaluate the performance of... Læs mere