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SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
SPIRE
2005
Springer
14 years 3 months ago
2005
Springer
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
ABIALS
2008
Springer
14 years 9 days ago
2008
Springer
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
INFOCOM
2010
IEEE
13 years 8 months ago
2010
IEEE
Abstract—Spectrum sensing is one of the key enabling technologies in Cognitive Radio Networks (CRNs). In CRNs, secondary users (SUs) are allowed to exploit the spectrum opportuni...
ESWS
2010
Springer
13 years 8 months ago
2010
Springer
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...