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163
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ISI
2006
Springer
15 years 2 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
135
Voted
KAIS
2010
132views more  KAIS 2010»
15 years 1 months ago
Integrating multiple document features in language models for expert finding
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
130
Voted
JGS
2010
106views more  JGS 2010»
14 years 9 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto
177
Voted
BMCBI
2011
14 years 6 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...

Book
363views
17 years 24 days ago
Computational Linguistics: Models, Resources, Applications
"Can computers meaningfully process human language? If this is difficult, why? If this is possible, how? This book introduces the reader to the fascinating science of computat...
Igor A. Bolshakov and Alexander Gelbukh