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ICML
1998
IEEE
16 years 7 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
ECAI
2010
Springer
15 years 7 months ago
LP Solvable Models for Multiagent Fair Allocation Problems
This paper proposes several operational approaches for solving fair allocation problems in the context of multiagent optimization. These problems arise in various contexts such as ...
Julien Lesca, Patrice Perny
INFOCOM
2007
IEEE
16 years 17 days ago
Randomized Decentralized Broadcasting Algorithms
— We consider the problem of broadcasting a live stream of data in an unstructured network. Broadcasting has been studied extensively for networks with capacity constraints at th...
Laurent Massoulié, Andrew Twigg, Christos G...
EMSOFT
2004
Springer
15 years 11 months ago
Practical PACE for embedded systems
In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and...
Ruibin Xu, Chenhai Xi, Rami G. Melhem, Daniel Moss...
PPSN
2004
Springer
15 years 11 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson