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» Using Checkable Types in Automatic Protocol Analysis
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ECML
2001
Springer
14 years 4 days ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
JMLR
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
BIOINFORMATICS
2005
152views more  BIOINFORMATICS 2005»
13 years 7 months ago
Intervention in context-sensitive probabilistic Boolean networks
Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been...
Ranadip Pal, Aniruddha Datta, Michael L. Bittner, ...
SIGSOFT
2005
ACM
14 years 8 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
IBPRIA
2007
Springer
14 years 1 months ago
On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI
Multivariate imaging technologies such as Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) have recently gained an important attention as it improves tumour detection...
David Raba, Marta Peracaula, Robert Marti, Joan Ma...