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JAIR
1998
198views more  JAIR 1998»
14 years 9 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
IJCAI
2001
14 years 11 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
SBMF
2009
Springer
156views Formal Methods» more  SBMF 2009»
15 years 4 months ago
Applying Event and Machine Decomposition to a Flash-Based Filestore in Event-B
Abstract. Event-B is a formal method used for specifying and reasoning about systems. Rodin is a toolset for developing system models in Event-B. Our experiment which is outlined i...
Kriangsak Damchoom, Michael J. Butler
FMICS
2010
Springer
14 years 11 months ago
Embedded Network Protocols for Mobile Devices
Embedded networks for chip-to-chip networks are emerging as communication infrastructure in mobile devices. We present three novel embedded network protocols: a sliding window prot...
Despo Galataki, Andrei Radulescu, Kees Verstoep, W...
BMCBI
2008
119views more  BMCBI 2008»
14 years 10 months ago
On deducing causality in metabolic networks
Background: Metabolic networks present a complex interconnected structure, whose understanding is in general a non-trivial task. Several formal approaches have been developed to s...
Chiara Bodei, Andrea Bracciali, Davide Chiarugi