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This book is for anyone who would like to learn how to develop machine-learning systems. We will cover the most... Read More >>
This book constitutes the refereed proceedings of the 16th International Conference on Graph Transformation, ICGT... Read More >>
This book constitutes the refereed proceedings of the 20th Annual RECOMB Satellite Workshop on Comparative Genomics,... Read More >>
This book constitutes the extended and revised versions of a set of selected papers from the 13th International... Read More >>
This book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning... Read More >>
This book constitutes the refereed post-proceedings of the First International Conference and Second International... Read More >>
Learn machine algorithms using deep machine learning techniques and methods with sample codes Read More >>
This open access book provides a unique and state-of-the-art view on DNA nanotechnology with an eye toward future... Read More >>
This book provides an accessible yet rigorous first reference for readers interested in learning how to model and... Read More >>
The chapters cover the basic concept and theory of gray system, original data processing and gray sequence generation,... Read More >>
This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection... Read More >>