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Machine Learning Challenges is written by Joaquin Quinonero-Candela and published by Springer. It's available with International Standard Book Number or ISBN identification 3540334289 (ISBN 10) and 9783540334286 (ISBN 13).
This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. 25 papers address three challenges: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; second, recognizing objects from a number of visual object classes in realistic scenes; third, recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding.