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QRE
2008
140views more  QRE 2008»
15 years 5 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 ...
ICSOC
2010
Springer
15 years 4 months ago
Incorporating Expectations as a Basis for Business Service Selection
Abstract. The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectati...
Adel M. ElMessiry, Xibin Gao, Munindar P. Singh
NECO
2010
103views more  NECO 2010»
15 years 4 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
KBSE
2010
IEEE
15 years 4 months ago
VikiBuilder: end-user specification and generation of visual wikis
With the need to make sense out of large and constantly growing information spaces, tools to support information management are becoming increasingly valuable. In prior work we pr...
Christian Hirsch, John G. Hosking, John C. Grundy
BMCBI
2010
216views more  BMCBI 2010»
15 years 1 months ago
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...