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ECAI
2010
Springer
15 years 7 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
COMPSAC
2001
IEEE
15 years 9 months ago
Debunking some Common Misconceptions on E-Learning
The recent explosion in distance learning programs on the world-wide web has spawned a lively debate on the future and the potential of these programs. While distance learning wil...
Ugo A. Buy
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 6 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
ALT
2002
Springer
16 years 3 months ago
Classes with Easily Learnable Subclasses
In this paper we study the question of whether identifiable classes have subclasses which are identifiable under a more restrictive criterion. The chosen framework is inductive ...
Sanjay Jain, Wolfram Menzel, Frank Stephan
CVPR
2010
IEEE
16 years 2 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta