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» Dynamic Modeling in Inductive Inference
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BMCBI
2007
144views more  BMCBI 2007»
13 years 8 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
PASTE
2010
ACM
14 years 1 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
ICLP
2005
Springer
14 years 1 months ago
Modeling Systems in CLP
We present a methodology for the modeling of complex program behavior in CLP. In the first part we present an informal description about how to represent a system in CLP. At its ...
Joxan Jaffar, Andrew E. Santosa, Razvan Voicu
JELIA
1994
Springer
14 years 3 days ago
Temporal Theories of Reasoning
: In this paper we describe a general way of formalizing reasoning behaviour. Such a behaviour may be described by all the patterns which are valid for the behaviour. A pattern can...
Joeri Engelfriet, Jan Treur
CVPR
2012
IEEE
11 years 10 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller