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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 3 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 9 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
ECML
2007
Springer
14 years 3 months ago
Policy Gradient Critics
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
Daan Wierstra, Jürgen Schmidhuber
ACL2
2006
ACM
14 years 3 months ago
A SAT-based procedure for verifying finite state machines in ACL2
We describe a new procedure for verifying ACL2 properties about finite state machines (FSMs) using satisfiability (SAT) solving. We present an algorithm for converting ACL2 conj...
Warren A. Hunt Jr., Erik Reeber
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 3 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski