Machine Learning Challenges
Joaquin Quinonero-Candela, Ido Dagan, Bernardo Magnini, "Machine Learning Challenges"
English | 2006 | ISBN: 3540334270 | PDF | pages: 473 | 5.3 mb
English | 2006 | ISBN: 3540334270 | PDF | pages: 473 | 5.3 mb
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.