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JAIR
2002
163views more  JAIR 2002»
13 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
FORMATS
2006
Springer
14 years 1 months ago
Extended Directed Search for Probabilistic Timed Reachability
Current numerical model checkers for stochastic systems can efficiently analyse stochastic models. However, the fact that they are unable to provide debugging information constrain...
Husain Aljazzar, Stefan Leue
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 1 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
CCGRID
2010
IEEE
13 years 11 months ago
Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS
Abstract--Reducing energy consumption for high end computing can bring various benefits such as, reduce operating costs, increase system reliability, and environment respect. This ...
Lizhe Wang, Gregor von Laszewski, Jai Dayal, Fugan...
HEURISTICS
2006
120views more  HEURISTICS 2006»
13 years 10 months ago
A study of ACO capabilities for solving the maximum clique problem
This paper investigates the capabilities of the Ant Colony Optimization (ACO) meta-heuristic for solving the maximum clique problem, the goal of which is to find a largest set of ...
Christine Solnon, Serge Fenet