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» Structure learning of Bayesian networks using constraints
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ICANN
2010
Springer
15 years 5 months ago
A Learned Saliency Predictor for Dynamic Natural Scenes
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
116
Voted
MODELS
2009
Springer
15 years 11 months ago
Towards Semantic Modeling of Network Physical Devices
One of the challenges faced by network management systems is the increasing need for consistent management of physical network equipment. We propose a solution where equipment is m...
Krzysztof Miksa, Marek Kasztelnik, Pawel Sabina, T...
BMCBI
2006
107views more  BMCBI 2006»
15 years 4 months ago
Analysis of optimal phenotypic space using elementary modes as applied to Corynebacterium glutamicum
Background: Quantification of the metabolic network of an organism offers insights into possible ways of developing mutant strain for better productivity of an extracellular metab...
Kalyan Gayen, K. V. Venkatesh
ESANN
2007
15 years 6 months ago
Causality and communities in neural networks
A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective...
Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
152
Voted
JMLR
2008
150views more  JMLR 2008»
15 years 4 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy