You might also like

More about Machine Learning Challenges

• Book details
• Synopsis
• Trending among others

You get 125 loyalty points

Book synopsis

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.§

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Machine Learning Challenges
• Subtitle: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, R
• Author: Florence D'Alché-Buc, Ido Dagan, Bernardo Magnini, Joaquin Quinonero-Candela
• Language: English
• Binding: Paperback
• Number of pages: 462
• EAN: 9783540334279
• ISBN: 3540334270
• ID: 05273856
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 815 g
• Dimensions: 235 × 155 × 30 mm
• Date of publishing: 11. May 2006

Trending among others

---

---

---