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JMLR
2012
13 years 3 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 5 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
INFOCOM
2007
IEEE
15 years 7 months ago
Reliable Routing with QoS Guarantees for Multi-Domain IP/MPLS Networks
Abstract—We present a distributed routing algorithm for finding two disjoint (primary and backup) QoS paths that run across multiple domains. Our work is inspired by the recent ...
Alexander Sprintson, Marcelo Yannuzzi, Ariel Orda,...
CP
2004
Springer
15 years 6 months ago
Preprocessing Techniques for Distributed Constraint Optimization
Abstract. Although algorithms for Distributed Constraint Optimization Problems (DCOPs) have emerged as a key technique for distributed reasoning, their application faces significa...
Syed Muhammad Ali, Sven Koenig, Milind Tambe
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 2 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed