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» Measuring Component Adaptation
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WSC
2008
15 years 9 months ago
The knowledge-gradient stopping rule for ranking and selection
We consider the ranking and selection of normal means in a fully sequential Bayesian context. By considering the sampling and stopping problems jointly rather than separately, we ...
Peter Frazier, Warren B. Powell
IJNM
2008
103views more  IJNM 2008»
15 years 6 months ago
An efficient architecture for Bandwidth Brokers in DiffServ networks
In this article we examine the architecture of an entity used for automatic management and provisioning of resources for DiffServ networks. We examine the existing literature and ...
Christos Bouras, Kostas Stamos
IS
2010
15 years 5 months ago
Identifying user strategies in exploratory learning with evolving task modelling
Abstract—In this paper we present work on adaptive identification of learners’ strategies, gradually developing a higher level of adaptation based on evolving models of mathem...
Mihaela Cocea, George D. Magoulas
PPSN
2010
Springer
15 years 5 months ago
A Natural Evolution Strategy for Multi-objective Optimization
Abstract. The recently introduced family of natural evolution strategies (NES), a novel stochastic descent method employing the natural gradient, is providing a more principled alt...
Tobias Glasmachers, Tom Schaul, Jürgen Schmid...
SAB
2010
Springer
150views Optimization» more  SAB 2010»
15 years 4 months ago
Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks
The cerebellum plays a major role in motor control. It is thought to mediate the acquisition of forward and inverse internal models of the bodyenvironment interaction [1]. In this ...
Jean-Baptiste Passot, Niceto Luque, Angelo Arleo