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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 11 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
CG
2000
Springer
13 years 11 months ago
Lambda-Search in Game Trees - with Application to Go
This paper proposes a new method for searching two-valued (binary) game trees in games like chess or Go. Lambda-search uses null-moves together with different orders of threat-sequ...
Thomas Thomsen
ECML
2006
Springer
13 years 11 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
ICALT
2008
IEEE
14 years 1 months ago
Identifying Learning Styles in Learning Management Systems by Using Indications from Students' Behaviour
Making students aware of their learning styles and presenting them with learning material that incorporates their individual learning styles has potential to make learning easier ...
Sabine Graf, Kinshuk, Tzu-Chien Liu
ICML
2007
IEEE
14 years 8 months ago
What is decreased by the max-sum arc consistency algorithm?
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
Tomás Werner