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Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable... Read More >>
Network models are critical tools in business, management, science and industry. This book presents an insightful,... Read More >>
The author provides a comprehensive text with a broad focus covering all aspects of learning theory and it's applications.... Read More >>
In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been... Read More >>
The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group... Read More >>
The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable... Read More >>
A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley,... Read More >>
This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry... Read More >>
Constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010,... Read More >>
Constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases:... Read More >>
This textbook, accessible to undergraduate students and practitioners, emphasizes the methodology and principles... Read More >>
With the advent of the Semantic Web and Semantic Technologies, ontologies have become one of the most prominent... Read More >>