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METMBS
2003
255views Mathematics» more  METMBS 2003»
13 years 9 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
CIDR
2009
136views Algorithms» more  CIDR 2009»
13 years 9 months ago
The Role of Schema Matching in Large Enterprises
To date, the principal use case for schema matching research has been as a precursor for code generation, i.e., constructing mappings between schema elements with the end goal of ...
Ken Smith, Michael Morse, Peter Mork, Maya Hao Li,...
COMPUTER
2006
160views more  COMPUTER 2006»
13 years 8 months ago
Developing Applications Using Model-Driven Design Environments
Model-driven development (MDD) is an emerging paradigm that improves the software development lifecycle, particularly for large software systems by providing a higherabstraction fo...
Krishnakumar Balasubramanian, Aniruddha S. Gokhale...
IJFCS
2008
49views more  IJFCS 2008»
13 years 8 months ago
A Markovian Approach for the Analysis of the gene Structure
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
Christelle Melo de Lima, Laurent Gueguen, Christia...
IJCV
2006
116views more  IJCV 2006»
13 years 8 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...