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AAAI
1996
15 years 7 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 15 days ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
BMCBI
2010
128views more  BMCBI 2010»
15 years 6 months ago
VIGOR, an annotation program for small viral genomes
Background: The decrease in cost for sequencing and improvement in technologies has made it easier and more common for the re-sequencing of large genomes as well as parallel seque...
Shiliang Wang, Jaideep P. Sundaram, David Spiro
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 11 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
AC
2000
Springer
15 years 10 months ago
The Join Calculus: A Language for Distributed Mobile Programming
In these notes, we give an overview of the join calculus, its semantics, and its equational theory. The join calculus is a language that models distributed and mobile programming. ...
Cédric Fournet, Georges Gonthier