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» Model building using bi-level optimization
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QRE
2008
140views more  QRE 2008»
15 years 1 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
15 years 3 months ago
Computational scenario-based capability planning
Scenarios are pen-pictures of plausible futures, used for strategic planning. The aim of this investigation is to expand the horizon of scenario-based planning through computation...
Hussein A. Abbass, Axel Bender, Hai Huong Dam, Ste...
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ASPDAC
2008
ACM
130views Hardware» more  ASPDAC 2008»
15 years 4 months ago
Architecture-level thermal behavioral characterization for multi-core microprocessors
In this paper, we investigate a new architecture-level thermal characterization problem from behavioral modeling perspective to address the emerging thermal related analysis and o...
Duo Li, Sheldon X.-D. Tan, Murli Tirumala
ECAI
2010
Springer
15 years 3 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 4 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...