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NECO
2007
150views more  NECO 2007»
13 years 9 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
IJRR
2011
218views more  IJRR 2011»
13 years 4 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
CEC
2008
IEEE
14 years 4 months ago
Crossover operators to control size growth in linear GP and variable length GAs
— In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhibit large degrees of redundancy and corresponding undue growth. This phenomen...
Dominique Chu, Jonathan E. Rowe
SECURWARE
2008
IEEE
14 years 4 months ago
Email Worm Mitigation by Controlling the Name Server Response Rate
Email worms and the spam associated with them are one of the main operational security issues today because they waste time, money and resources. The high incidence of email worms...
Nikolaos Chatzis, Enric Pujol
FDL
2005
IEEE
14 years 3 months ago
Synthesis for Unified Control- and Data-Oriented Models
In the Software/Hardware Engineering model-driven design methodology, preservation of real-time system properties can be guaranteed in the model synthesis up to a small time-deviat...
Oana Florescu, Jeroen Voeten, Henk Corporaal