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157
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
171
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GECCO
2010
Springer
15 years 10 months ago
2010
Springer
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
261
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CP
2009
Springer
16 years 7 months ago
2009
Springer
Millions of containers are stowed every week with goods worth billions of dollars, but container vessel stowage is an all but neglected combinatorial optimization problem. In this ...
170
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
175
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WSDM
2010
ACM
16 years 3 months ago
2010
ACM
Domain-oriented sentiment lexicons are widely used for finegrained sentiment analysis on reviews; therefore, the automatic construction of domain-oriented sentiment lexicon is a f...