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BMCBI
2007
215views more  BMCBI 2007»
15 years 6 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
BNCOD
2008
143views Database» more  BNCOD 2008»
15 years 8 months ago
Reconciling Inconsistent Data in Probabilistic XML Data Integration
Abstract. The problem of dealing with inconsistent data while integrating XML data from different sources is an important task, necessary to improve data integration quality. Typic...
Tadeusz Pankowski
MM
2009
ACM
178views Multimedia» more  MM 2009»
15 years 11 months ago
Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models
The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem...
Sarah Favre, Alfred Dielmann, Alessandro Vinciarel...
ICML
2008
IEEE
16 years 7 months ago
The asymptotics of semi-supervised learning in discriminative probabilistic models
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
François Yvon, Nataliya Sokolovska, Olivier...
IPSN
2004
Springer
16 years 6 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal