Kód: 35540776
This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers ... celý popis
Angličtina
144.04 €
Bežne: 156.11 €
Ušetríte 12.07 €

Nákupom získate 349 bodov
Anotácia knihy
This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.
Parametre knihy
Zaradenie knihy Knihy po nemecky Naturwissenschaften, Medizin, Informatik, Technik Physik, Astronomie Physik, Astronomie - Sonstiges
144.04 €
AngličtinaOsobný odber Bratislava a 12790 dalších
Copyright ©2008-26 najlacnejsie-knihy.sk Všetky práva vyhradenéSúkromieCookies
24 miliónov titulov
Vrátenie do mesiaca
02/210 210 99 (8-15.30h)Nákupný košík ( prázdny )