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» Heterogeneous reasoning in learning to model
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LCPC
2009
Springer
14 years 2 months ago
MIMD Interpretation on a GPU
Programming heterogeneous parallel computer systems is notoriously difficult, but MIMD models have proven to be portable across multi-core processors, clusters, and massively paral...
Henry G. Dietz, B. Dalton Young
RIAO
2007
13 years 11 months ago
From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations
Many documents on the Web are formated in a weakly structured format. Because of their weak semantic and because of the heterogeneity of their formats, the information conveyed by...
Guillaume Wisniewski, Patrick Gallinari
JCST
2010
153views more  JCST 2010»
13 years 4 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
ITS
2000
Springer
135views Multimedia» more  ITS 2000»
14 years 1 months ago
Analyzing and Generating Mathematical Models: An Algebra II Cognitive Tutor Design Study
This paper reports a formative analysis of a Math Modeling Tool in the Algebra II Cognitive Tutor. This tutor is designed to support algebraic reasoning about real world problems. ...
Albert T. Corbett, Megan McLaughlin, K. Christine ...
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 7 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert