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» Automated Analysis of Feature Models Using Atomic Sets
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BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
ILP
2005
Springer
14 years 1 months ago
Online Closure-Based Learning of Relational Theories
Online learning algorithms such as Winnow have received much attention in Machine Learning. Their performance degrades only logarithmically with the input dimension, making them us...
Frédéric Koriche
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
13 years 12 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
ISMVL
1999
IEEE
90views Hardware» more  ISMVL 1999»
13 years 11 months ago
Transformations between Signed and Classical Clause Logic
In the last years two automated reasoning techniques for clause normal form arose in which the use of labels are prominently featured: signed logic and annotated logic programming...
Bernhard Beckert, Reiner Hähnle, Felip Many&a...
ICSE
2008
IEEE-ACM
14 years 7 months ago
Celadon: a change impact analysis tool for aspect-oriented programs
To reduce the manual effort of assessing potential affected program parts during software evolution, we develop a tool, called Celadon, which automates the change impact analysis ...
Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao