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» A Computational Approach to Binding Theory
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ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 9 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
114
Voted
CSE
2009
IEEE
15 years 8 months ago
The Importance of Data Collection for Modelling Contact Networks
—The recently developed small wireless devices ranging from sensor boards to mobile phones provide a timely opportunity to gather unique data sets on complex human interactions, ...
Eiko Yoneki
ATAL
2010
Springer
15 years 3 months ago
Divide-and-coordinate: DCOPs by agreement
In this paper we investigate an approach to provide approximate, anytime algorithms for DCOPs that can provide quality guarantees. At this aim, we propose the divide-and-coordinat...
Meritxell Vinyals, Marc Pujol, Juan A. Rodrí...
110
Voted
TKDE
2008
134views more  TKDE 2008»
15 years 1 months ago
Contraflow Transportation Network Reconfiguration for Evacuation Route Planning
Given a transportation network having source nodes with evacuees and destination nodes, we want to find a contraflow network configuration (that is, ideal direction for each edge) ...
Sangho Kim, Shashi Shekhar, Manki Min
AAAI
2006
15 years 3 months ago
Learning Systems of Concepts with an Infinite Relational Model
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griff...