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ICML
2000
IEEE
14 years 8 months ago
Solving the Multiple-Instance Problem: A Lazy Learning Approach
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
Jun Wang, Jean-Daniel Zucker
AAAI
1994
13 years 9 months ago
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement
New approaches to solving constraint satisfaction problems using iterative improvement techniques have been found to be successful on certain, very large problems such as the mill...
Andrew J. Davenport, Edward P. K. Tsang, Chang J. ...
AIED
2005
Springer
14 years 1 months ago
DIANE, a diagnosis system for arithmetical problem solving
We hereby describe DIANE an environment that aims at performing an automatic diagnosis on arithmetic problems depending on the productions of the learners. This work relies on resu...
Khider Hakem, Emmanuel Sander, Jean-Marc Labat, Je...
CEC
2009
IEEE
14 years 9 days ago
Benchmarking and solving dynamic constrained problems
— Many real-world dynamic optimisation problems have constraints, and in certain cases not only the objective function changes over time, but the constraints also change as well....
Trung Thanh Nguyen, Xin Yao
JAR
2000
149views more  JAR 2000»
13 years 7 months ago
Guided Local Search for Solving SAT and Weighted MAX-SAT Problems
In this paper, we show how Guided Local Search (GLS) can be applied to the SAT problem and show how the resulting algorithm can be naturally extended to solve the weighted MAX-SAT ...
Patrick Mills, Edward P. K. Tsang