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  Evaluating Predictive Uncertainty Challenge

Quinonero Candela, J., Rasmussen, C., Sinz, F., Bousquet, O., & Schölkopf, B. (2006). Evaluating Predictive Uncertainty Challenge. In J. Quiñonero-Candela, I. Dagan, B. Magnini, & F. d’Alché-Buc (Eds.), Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005 (pp. 1-27). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D239-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-C57B-2
Genre: Conference Paper

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 Creators:
Quinonero Candela, J1, 2, Author           
Rasmussen, CE1, 2, Author           
Sinz, F1, 2, Author           
Bousquet, O1, 2, Author           
Schölkopf, B1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: This Chapter presents the PASCAL Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provides a discussion with some lessons to be learnt. The Challenge was set up to evaluate the ability of Machine Learning algorithms to provide good “probabilistic predictions”, rather than just the usual “point predictions” with no measure of uncertainty, in regression and classification problems. Parti-cipants had to compete on a number of regression and classification tasks, and were evaluated by both traditional losses that only take into account point predictions and losses we proposed that evaluate the quality of the probabilistic predictions.

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 Dates: 2006-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/11736790_1
BibTex Citekey: 3924
 Degree: -

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Title: First PASCAL Machine Learning Challenges Workshop (MLCW 2005)
Place of Event: Southampton, UK
Start-/End Date: 2005-04-11 - 2005-04-13

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Title: Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005
Source Genre: Proceedings
 Creator(s):
Quiñonero-Candela, J, Editor
Dagan, I, Editor
Magnini, B, Editor
d’Alché-Buc, F, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 27 Identifier: ISBN: 978-3-540-33427-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 3944 Sequence Number: - Start / End Page: - Identifier: -