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119
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CORR
2010
Springer
69views Education» more  CORR 2010»
15 years 4 months ago
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...
Gert de Cooman, Filip Hermans, Alessandro Antonucc...
CLEIEJ
2007
152views more  CLEIEJ 2007»
15 years 3 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
152
Voted
CORR
2007
Springer
144views Education» more  CORR 2007»
15 years 3 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
CORR
2007
Springer
177views Education» more  CORR 2007»
15 years 3 months ago
N3Logic: A Logical Framework For the World Wide Web
The Semantic Web drives towards the use of the Web for interacting with logically interconnected data. Through knowledge models such as Resource Description Framework (RDF), the S...
Tim Berners-Lee, Dan Connolly, Lalana Kagal, Yosi ...
133
Voted
SIAMCOMP
2000
104views more  SIAMCOMP 2000»
15 years 3 months ago
On the Difficulty of Designing Good Classifiers
We consider the problem of designing a near-optimal linear decision tree to classify two given point sets B and W in n. A linear decision tree de nes a polyhedral subdivision of sp...
Michelangelo Grigni, Vincent Mirelli, Christos H. ...