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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
HPCC
2007
Springer
16 years 1 months ago
A Complex Network-Based Approach for Job Scheduling in Grid Environments
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
HYBRID
2007
Springer
16 years 1 months ago
Symbolic Analysis for GSMP Models with One Stateful Clock
We consider the problem of verifying reachability properties of stochastic real-time systems modeled as generalized semi-Markov processes (GSMPs). The standard simulation-based tec...
Mikhail Bernadsky, Rajeev Alur
ICESS
2007
Springer
16 years 1 months ago
Sleep Nodes Scheduling in Cluster-Based Heterogeneous Sensor Networks Using AHP
Abstract. Wireless sensor networks (WSNs) are comprised of energy constrained nodes. This limitation has led to the crucial need for energy-aware protocols to produce an efficient ...
Xiaoling Wu, Jinsung Cho, Brian J. d'Auriol, Sungy...
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
16 years 1 months ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang