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.
Theory and Applications
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.
Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster
How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
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.