2096 search results - page 227 / 420 » Evolutionary multiobjective optimization |
131
Voted
GECCO
2010
Springer
15 years 6 months ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
130
Voted
GECCO
2008
Springer
15 years 3 months ago
2008
Springer
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
100
Voted
INFOCOM
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— We consider the problem of minimizing the resources used for network coding while achieving the desired throughput in a multicast scenario. Since this problem is NPhard...
138
Voted
SYNASC
2006
IEEE
15 years 8 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
146
Voted
AAAI
2006
15 years 4 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...