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ECAI
2008
Springer
15 years 2 months ago
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
Peter Sutovskú, Gregory F. Cooper
PPSN
2004
Springer
15 years 6 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
70
Voted
ERCIMDL
2003
Springer
106views Education» more  ERCIMDL 2003»
15 years 5 months ago
A User Evaluation of Hierarchical Phrase Browsing
Phrase browsing interfaces based on hierarchies of phrases extracted automatically from document collections offer a useful compromise between automatic full-text searching and man...
Katrina D. Edgar, David M. Nichols, Gordon W. Payn...
114
Voted
CODES
1999
IEEE
15 years 5 months ago
Optimizing geographically distributed timed cosimulation by hierarchically grouped messages
raction levels of communication models to allow designers to trade off between performance and accuracy. Contrary to [2][3], we present an optimization method which preserves the a...
Sungjoo Yoo, Kiyoung Choi
ICCAD
1996
IEEE
88views Hardware» more  ICCAD 1996»
15 years 4 months ago
Hierarchical statistical characterization of mixed-signal circuits using behavioral modeling
A methodology for hierarchicalstatistical circuit characterization which does not rely upon circuit-level Monte Carlo simulation is presented. The methodology uses principalcompon...
Eric Felt, Stefano Zanella, Carlo Guardiani, Alber...