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132
Voted
CEC
2010
IEEE
15 years 1 months ago
2010
IEEE
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
136
Voted
PPDP
2009
Springer
15 years 10 months ago
2009
Springer
We propose a novel approach to encapsulate non-deterministic computations in functional logic programs. Our approach is based on set functions that return the set of all the resul...
93
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Evaluating GP schema in context is considered to be a complex, and, at times impossible, task. The tightly linked nodes of a GP tree is the main reason behind its complexity. This...
137
Voted
IJCAI
2007
15 years 5 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
148
Voted
SIAMSC
2008
15 years 3 months ago
2008
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...