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128
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LEGE
2003
94views Education» more  LEGE 2003»
15 years 4 months ago
Dynamic Learning Agents and Enhanced Presence on the Grid
Human Learning on the Grid will be based on the synergies between advanced software and Human agents. These synergies will be possible to the extent that conversational protocols ...
Stefano A. Cerri, Marc Eisenstadt, Clement Jonquet
109
Voted
NIPS
2003
15 years 4 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
114
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GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 4 months ago
A study of NK landscapes' basins and local optima networks
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces [5]. We use the well-known fami...
Gabriela Ochoa, Marco Tomassini, Sébastien ...
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 4 months ago
Metaheuristics for solving a real-world frequency assignment problem in GSM networks
The Frequency Assignment Problem (FAP) is one of the key issues in the design of GSM networks (Global System for Mobile communications), and will remain important in the foreseeab...
Francisco Luna, César Estébanez, Cor...
141
Voted
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 4 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...