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ICMLA
2004
13 years 10 months ago
LASSO: a learning architecture for semantic web ontologies
Expressing web page content in a way that computers can understand is the key to a semantic web. Generating ontological information from the web automatically using machine learni...
Christopher N. Hammack, Stephen D. Scott
NIPS
2003
13 years 10 months ago
Predicting Speech Intelligibility from a Population of Neurons
A major issue in evaluating speech enhancement and hearing compensation algorithms is to come up with a suitable metric that predicts intelligibility as judged by a human listener...
Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Ha...
IJCAI
1997
13 years 10 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
HPDC
2010
IEEE
13 years 10 months ago
New caching techniques for web search engines
This paper proposes a cache hierarchy that enables Web search engines to efficiently process user queries. The different caches in the hierarchy are used to store pieces of data w...
Mauricio Marín, Veronica Gil Costa, Carlos ...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 10 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello