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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 10 days 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 10 days 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 10 days 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 10 days 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 10 days 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