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EWCBR
2004
Springer
16 years 3 days ago
Maintaining Case-Based Reasoning Systems: A Machine Learning Approach
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Niloofar Arshadi, Igor Jurisica
ILP
2004
Springer
16 years 2 days ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
COCOS
2003
Springer
139views Optimization» more  COCOS 2003»
15 years 12 months ago
Inter-block Backtracking: Exploiting the Structure in Continuous CSPs
This paper details a technique, called inter-block backtracking (IBB), which improves interval solving of decomposed systems with non-linear equations over the reals. This techniqu...
Bertrand Neveu, Christophe Jermann, Gilles Trombet...
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 11 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
169
Voted
CVPR
2000
IEEE
15 years 11 months ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall