All > Computers > Neural Networks
Buyer's Guides CAD-CAM Certification guides Client-Server Computing Compilers Computer Engineering Computer Graphics Computer Science Computer Vision & Pattern Recognition Computerized Home & Entertainment Data Modeling & Design Data Processing Data Transmission Systems Database Management Desktop Applications Digital Media Document Management Documentation & Technical Writing Educational Software Electronic Commerce Electronic Publishing Enterprise Applications General Hardware History Image Processing Information Technology Information Theory Intelligence (AI) & Semantics Interactive & Multimedia Internet Machine Theory Management Information Systems Mathematical & Statistical Software Natural Language Processing Networking Neural Networks Online Services Operating Systems Programming Programming Languages Reference Security Social Aspects Software development & engineering System Administration Systems Architecture User Interfaces Utilities Virtual Worlds Webby Gökhan BakIr, Thomas Hofmann, Bernhard Sch..., Alexander J...., Ben Taskar, and S.V.N Vishwa...
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
(2007)
394 Reads
Theory and Applications
by Peter D. Grü..., Jay Injae Myung, and Mark A. Pitt
A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology.
(2005)
274 Reads
by Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster
How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
(2008)
126 Reads
by Léon Bottou, Olivier Chap..., Dennis DeCoste, and Jason Weston
Topics covered include fast implementations of known algorithms, approximations that are amenable to theoretical guarantees, and algorithms that perform well in practice but are difficult to analyze theoretically.
(2007)
277 Reads