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NIPS
2008
13 years 10 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
SWAP
2007
13 years 10 months ago
Reasoning with Instances of Heterogeneous Ontologies
We address the problem of reasoning with instances of heterogeneously formalized ontologies. Given a set of semantic mappings, reconciling conceptual and instance level heterogenei...
Luciano Serafini, Andrei Tamilin
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
14 years 1 months ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...
AAMAS
2004
Springer
13 years 9 months ago
Autonomous Agents that Learn to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
Andrew Garland, Richard Alterman
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
14 years 1 months ago
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...