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Titlebook: Machine Learning: ECML 2003; 14th European Confer Nada Lavrač,Dragan Gamberger,Ljupčo Todorovski Conference proceedings 2003 Springer-Verla

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Jörg Fischer,Kristian Kersting as the incorporation of a great deal of new material. However, the essential character of the book remains the same; in other words, the entire presentation continues to be based on an axiomatic treatment of vector spaces. In this first volume the restriction to finite dimensional vector spaces has
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Pascal Garcia ideas that developed in this way have become part of the language of much of higher mathematics. They also provide a framework for appli­ cations of linear algebra to many problems in mathematics, the natural sciences, economics, and computer science. This book is the revised fourth edition of a te
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Amaury Habrard,Marc Bernard,Marc Sebban course, so that linear algebra can be used in a course on multidimensional calculus. Realizing that students at this level have had little contact with complex numbers or abstract mathematics the book deals almost exclusively with real finite-dimensional vector spaces in a setting and formulation t
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Pieter Jan ’t Hoen,Sander M. Bohte course, so that linear algebra can be used in a course on multidimensional calculus. Realizing that students at this level have had little contact with complex numbers or abstract mathematics the book deals almost exclusively with real finite-dimensional vector spaces in a setting and formulation t
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Machine Learning: ECML 2003978-3-540-39857-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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