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» Packet Classification Algorithms: From Theory to Practice
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ECAI
2006
Springer
15 years 6 months 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
15 years 25 days 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»
16 years 3 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»
15 years 2 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»
15 years 9 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