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» Optimal Control With Noisy Time
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NIPS
2004
15 years 5 months ago
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...
137
Voted
ATAL
1998
Springer
15 years 8 months ago
Intention Reconsideration Reconsidered
Abstract. In this paper, we consider the issue of designing agents that successfully balance the amount of time spent in reconsidering their intentions against the amount of time s...
Michael Wooldridge, Simon Parsons
147
Voted
BMCBI
2006
239views more  BMCBI 2006»
15 years 4 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 10 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
15 years 9 months ago
Maximizing aggregated revenue in sensor networks under deadline constraints
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
Srikanth Hariharan, Ness B. Shroff