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141
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AAAI
2004
15 years 6 months ago
2004
In many real world planning scenarios, agents often do not have enough resources to achieve all of their goals. Consequently, they are forced to find plans that satisfy only a sub...
138
Voted
SAINT
2005
IEEE
15 years 10 months ago
2005
IEEE
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
140
Voted
TREC
2004
15 years 6 months ago
2004
York University participated in HARD and Genomics tracks this year. For both tracks, we used Okapi BSS (basic search system) as the basis. Our experiments mainly focused on exploi...
162
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GECCO
2004
Springer
15 years 10 months ago
2004
Springer
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
160
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DMIN
2010
15 years 2 months ago
2010
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...