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» Comparing distributions and shapes using the kernel distance
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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 7 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
89
Voted
ICS
2003
Tsinghua U.
15 years 5 months ago
Estimating cache misses and locality using stack distances
Cache behavior modeling is an important part of modern optimizing compilers. In this paper we present a method to estimate the number of cache misses, at compile time, using a mac...
Calin Cascaval, David A. Padua
103
Voted
BMCBI
2010
117views more  BMCBI 2010»
15 years 19 days ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
117
Voted
BMCBI
2007
154views more  BMCBI 2007»
15 years 19 days ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato
120
Voted
COMPGEOM
2009
ACM
15 years 7 months ago
Coresets for polytope distance
Following recent work of Clarkson, we translate the coreset framework to the problems of finding the point closest to the origin inside a polytope, finding the shortest distance...
Bernd Gärtner, Martin Jaggi