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» Predicting relative performance of classifiers from samples
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92
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ANLP
1994
113views more  ANLP 1994»
15 years 1 months ago
Acquiring Knowledge From Encyclopedic Texts
A computational model for the acquisition of knowledge from encyclopedic texts is described. The model has been implemented in a program, called SNOWY, that reads unedited texts f...
Fernando Gomez, Richard D. Hull, Carlos Segami
117
Voted
NIPS
2001
15 years 2 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
IWCLS
2007
Springer
15 years 6 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
14 years 10 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
109
Voted
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
15 years 5 months ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun