Landmark Cases in the Law of Tort, Charles Mitchell, Paul Mitchell
Название: Cas and football: landmark cases ISBN: 9067049476 ISBN-13(EAN): 9789067049474 Издательство: Springer Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The commentaries cover a broad spectrum of disputes, inter alia, disputes concerning the contractual stability, protection of young football players, doping, football hooliganism, match fixing, players release, multiple club ownership, player agents and the stays of execution.
Автор: Stathis Stephen W Название: Landmark Legislation 1774-2012 ISBN: 1452292302 ISBN-13(EAN): 9781452292304 Издательство: Sage Publications Рейтинг: Цена: 25344.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This one-volume resource is a must-have for any public or academic library, especially those with strong American history or political science collections.
Автор: Ajith Abraham; Rafael Falc?n; Rafael Bello Название: Rough Set Theory: A True Landmark in Data Analysis ISBN: 3642100627 ISBN-13(EAN): 9783642100628 Издательство: Springer Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Theoretical Contributions to Rough Set Theory.- Rough Sets on Fuzzy Approximation Spaces and Intuitionistic Fuzzy Approximation Spaces.- Categorical Innovations for Rough Sets.- Granular Structures and Approximations in Rough Sets and Knowledge Spaces.- On Approximation of Classifications, Rough Equalities and Rough Equivalences.- Rough Set Data Mining Activities.- Rough Clustering with Partial Supervision.- A Generic Scheme for Generating Prediction Rules Using Rough Sets.- Rough Web Caching.- Software Defect Classification: A Comparative Study of Rough-Neuro-fuzzy Hybrid Approaches with Linear and Non-linear SVMs.- Rough Hybrid Models to Classification and Attribute Reduction.- Rough Sets and Evolutionary Computation to Solve the Feature Selection Problem.- Nature Inspired Population-Based Heuristics for Rough Set Reduction.- Developing a Knowledge-Based System Using Rough Set Theory and Genetic Algorithms for Substation Fault Diagnosis.
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