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IVC
2007
97views more  IVC 2007»
15 years 2 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...
AIED
2007
Springer
15 years 8 months ago
Explaining Self-Explaining: A Contrast between Content and Generation
Self-explaining has been repeatedly shown to result in positive learning outcomes for students in a wide variety of disciplines. However, there are two potential accounts for why s...
Robert G. M. Hausmann, Kurt VanLehn
116
Voted
UM
2007
Springer
15 years 8 months ago
Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...
Mihaela Cocea, Stephan Weibelzahl
122
Voted
ML
2000
ACM
149views Machine Learning» more  ML 2000»
15 years 2 months ago
BoosTexter: A Boosting-based System for Text Categorization
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
Robert E. Schapire, Yoram Singer
136
Voted
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 2 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos