cam a22 2 4500 528915657 CHVBK 20181228032453.0 m d cr |n |||||||| 161005e20171208mou s|||| 0 2|eng|d 978-0-08-100659-7 0-08-100659-4 (Trade Paper) : USD 99.95 Retail Price (Publisher) 9780081006597 (SERSOL)ssib030229522 (WaSeSS)ssib030229522 BIP US WaSeSS Q325.5 006.31 23 Gori Marco Author Machine Learning [Elektronische Daten] A Constraint-Based Approach [S.l.] San Diego Morgan Kaufmann [Imprint] Elsevier Science & Technology Books Dec. 2017 1 online resource (536 p.) Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. Annotation Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines.The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book.This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.Presents fundamental machine learning concepts, such as neural networks and kernel machines in a unified mannerProvides in-depth coverage of unsupervised and semi-supervised learningIncludes a software simulator for kernel machines and learning from constraints that also includes exercises to facilitate learningContains 250 solved examples and exercises chosen particularly for their progression of difficulty from simple to complex Scholarly & Professional Elsevier Science & Technology Books u Machine Learning u Algorithms https://www.sciencedirect.com/science/book/9780081006597 Uni Basel: Volltext https://www.sciencedirect.com/science/book/9780081006597 Uni Bern: Volltext ScienceDirect eBooks E-Books von 360MarcUpdates eBook - Freedom Collection Books 2018 IDSBB 100 1- Gori Marco Author IDSBB 856 40 https://www.sciencedirect.com/science/book/9780081006597 Uni Basel: Volltext IDSBB 856 40 https://www.sciencedirect.com/science/book/9780081006597 Uni Bern: Volltext SWISSBIB 507092422 BK020053 XK020053 XK020000 IDSBB A145 A145 145VT NELA1451812 IDSBB B405 B405 405VT NELB4051809