1310 search results - page 17 / 262 » Progressive Optimization in Action |
NECO
2006
2006
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
14 years 11 months ago
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...
103
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AAAI
1996
15 years 1 months ago
1996
Anytime algorithms offer a tradeoff between solution quality and computation time that has proved useful in applying artificial intelligence techniques to time-critical problems. ...
ISCIS
2003
Springer
15 years 4 months ago
2003
Springer
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
105
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AAMAS
2011
Springer
14 years 6 months ago
2011
Springer
We consider a problem domain where coalitions of agents are formed in order to execute tasks. Each task is assigned at most one coalition of agents, and the coalition can be reorg...
DAGM
2004
Springer
15 years 5 months ago
2004
Springer
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a ...