Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Buy Now

Machine Learning Challenges - Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers (Paperback, 2006 ed.) Loot Price: R1,592

Discovery Miles 15 920

Repayment Terms: R149 pm x 12*

Add to cart

Machine Learning Challenges - Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual...

Machine Learning Challenges - Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, First Pascal Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers (Paperback, 2006 ed.)

Joaquin Quinonero-Candela, Ido Dagan, Bernardo Magnini, Florence D'Alche-Buc

Series: Lecture Notes in Artificial Intelligence, 3944

(sign in to rate)

Loot Price R1,592 Discovery Miles 15 920 | Repayment Terms: R149 pm x 12*

Expected to ship within 10 - 15 working days

Description
Details
Customer Reviews

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Artificial Intelligence, 3944
Release date:	May 2006
First published:	2006
Editors:	Joaquin Quinonero-Candela • Ido Dagan • Bernardo Magnini • Florence D'Alche-Buc
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	462
Edition:	2006 ed.
ISBN-13:	978-3-540-33427-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-540-33427-0
Barcode:	9783540334279