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We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
152
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TAMC
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
133
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DIS
2003
Springer
15 years 10 months ago
2003
Springer
Computing abductive explanations is an important problem, which has been studied extensively in Artificial Intelligence (AI) and related disciplines. While computing some abductiv...
123
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EOR
2010
15 years 5 months ago
2010
A significant input-data uncertainty is often present in practical situations. One approach to coping with this uncertainty is to describe the uncertainty with scenarios. A scenar...
129
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CP
2006
Springer
15 years 9 months ago
2006
Springer
This paper presents an enumerative approach for a sports league scheduling problem. This simple method can solve some instances involving a number T of teams up to 70 while the bes...