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ICANN
2005
Springer
14 years 2 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
ICIP
2010
IEEE
13 years 6 months ago
Reducing graphs in graph cut segmentation
In few years, graph cuts have become a leading method for solving a wide range of problems in computer vision. However, graph cuts involve the construction of huge graphs which so...
Nicolas Lerme, François Malgouyres, Lucas L...
AAAI
2000
13 years 10 months ago
Divide-and-Conquer Frontier Search Applied to Optimal Sequence Alignment
We present a new algorithm that reduces the space complexity of heuristic search. It is most effective for problem spaces that grow polynomially with problem size, but contain lar...
Richard E. Korf, Weixiong Zhang
KR
1992
Springer
14 years 21 days ago
Intelligent Backtracking Techniques for Job Shop Scheduling
This paper studies a version of the job shop scheduling problem in which some operations have to be scheduled within non-relaxable time windows i.e. earliest latest possible start...
Yalin Xiong, Norman M. Sadeh, Katia P. Sycara
AIPS
2008
13 years 11 months ago
Effective Information Value Calculation for Interruption Management in Multi-Agent Scheduling
This paper addresses the problem of deciding effectively whether to interrupt a teammate who may have information that is valuable for solving a collaborative scheduling problem. ...
David Sarne, Barbara J. Grosz, Peter Owotoki