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JMLR
2010
137views more  JMLR 2010»
13 years 5 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
CONCUR
1998
Springer
14 years 2 months ago
Algebraic Techniques for Timed Systems
Performance evaluation is a central issue in the design of complex real-time systems. In this work, we propose an extension of socalled "Max-Plus" algebraic techniques to...
Albert Benveniste, Claude Jard, Stephane Gaubert
BIOINFORMATICS
2006
142views more  BIOINFORMATICS 2006»
13 years 10 months ago
Intervention in a family of Boolean networks
Motivation: Intervention in a gene regulatory network is used to avoid undesirable states, such as those associated with a disease. Several types of intervention have been studied...
Ashish Choudhary, Aniruddha Datta, Michael L. Bitt...
CVPR
2007
IEEE
15 years 8 days ago
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
Pengdong Xiao, Nick Barnes, Tibério S. Caet...
APIN
2002
121views more  APIN 2002»
13 years 10 months ago
Applying Learning by Examples for Digital Design Automation
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
Ben Choi