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UAI
1996
15 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
ATAL
2010
Springer
15 years 7 months ago
Modeling collision avoidance behavior for virtual humans
In this paper, we present a new trajectory planning algorithm for virtual humans. Our approach focuses on implicit cooperation between multiple virtual agents in order to share th...
Stephen J. Guy, Ming C. Lin, Dinesh Manocha
SIGIR
2010
ACM
15 years 6 months ago
A joint probabilistic classification model for resource selection
Resource selection is an important task in Federated Search to select a small number of most relevant information sources. Current resource selection algorithms such as GlOSS, COR...
Dzung Hong, Luo Si, Paul Bracke, Michael Witt, Tim...
PE
2008
Springer
106views Optimization» more  PE 2008»
15 years 6 months ago
Heavy traffic analysis of polling models by mean value analysis
In this paper we present a new approach to derive heavy-traffic asymptotics for polling models. We consider the classical cyclic polling model with exhaustive or gated service at ...
Robert D. van der Mei, Erik M. M. Winands
CCE
2004
15 years 6 months ago
A decomposition method for synthesizing complex column configurations using tray-by-tray GDP models
This paper describes an optimization procedure for the synthesis of complex distillation configurations. A superstructure based on the Reversible Distillation Sequence Model (RDSM...
Mariana Barttfeld, Pío A. Aguirre, Ignacio ...