210 search results - page 16 / 42 » Some Competition Programming Problems as the Beginning of Ar... |
CP
2007
Springer
15 years 3 months ago
2007
Springer
We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, situations with several agents providing the data, or with possibl...
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
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EVOW
1994
Springer
15 years 1 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
FLAIRS
1998
14 years 10 months ago
1998
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...