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» Packet Classification Algorithms: From Theory to Practice
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ECAI
2006
Springer
14 years 17 days ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
WEBI
2010
Springer
13 years 6 months ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 9 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
JETAI
2000
121views more  JETAI 2000»
13 years 8 months ago
Contextual reasoning distilled
In this paper we provide a foundation of a theory of contextual reasoning from the perspective of a theory of knowledge representation. Starting from the so-called metaphor of the...
Massimo Benerecetti, Paolo Bouquet, Chiara Ghidini
ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
14 years 3 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa