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» Learning the Structure of Dynamic Probabilistic Networks
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AIME
2007
Springer
13 years 11 months ago
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
Abstract. Disease processes in patients are temporal in nature and involve uncertainty. It is necessary to gain insight into these processes when aiming at improving the diagnosis,...
Stefan Visscher, Peter J. F. Lucas, Ildikó ...
CIBCB
2008
IEEE
14 years 2 months ago
Temporal and structural analysis of biological networks in combination with microarray data
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
ECTEL
2010
Springer
13 years 6 months ago
Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning
Abstract. This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social ...
Carsten Ullrich, Kerstin Borau, Karen Stepanyan
ICML
2004
IEEE
14 years 8 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...