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» Structured Sparsity in Structured Prediction
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ISI
2006
Springer
13 years 8 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&...
CPHYSICS
2007
106views more  CPHYSICS 2007»
13 years 8 months ago
The way towards thermonuclear fusion simulators
In parallel to the ITER project itself, many initiatives address complementary technological issues relevant to a fusion reactor, as well as many remaining scientific issues. One...
A. Bécoulet, Per Strand, H. Wilson, M. Roma...
JMLR
2008
127views more  JMLR 2008»
13 years 8 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King
JCB
2006
144views more  JCB 2006»
13 years 8 months ago
Modeling Virus Self-Assembly Pathways: Avoiding Dynamics Using Geometric Constraint Decomposition
We develop a model for elucidating the assembly pathways by which an icosahedral viral shell forms from 60 identical constituent protein monomers. This poorly understood process a...
Meera Sitharam, Mavis Agbandje-Mckenna
BMCBI
2005
103views more  BMCBI 2005»
13 years 8 months ago
Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery
Background: Molecular profiling generates abundance measurements for thousands of gene transcripts in biological samples such as normal and tumor tissues (data points). Given such...
Leslie Grate