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ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
BMCBI
2006
129views more  BMCBI 2006»
13 years 8 months ago
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps
Background: Protein sequence alignment is one of the basic tools in bioinformatics. Correct alignments are required for a range of tasks including the derivation of phylogenetic t...
Tomas Ohlson, Varun Aggarwal, Arne Elofsson, Rober...
FMOODS
2008
13 years 10 months ago
VeriCool: An Automatic Verifier for a Concurrent Object-Oriented Language
Reasoning about object-oriented programs is hard, due to , dynamic binding and the need for data abstraction and framing. Reasoning about concurrent object-oriented programs is eve...
Jan Smans, Bart Jacobs 0002, Frank Piessens
ESWA
2007
127views more  ESWA 2007»
13 years 8 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
CIBCB
2006
IEEE
14 years 2 months ago
A Novel Graphical Model Approach to Segmenting Cell Images
— Successful biological image analysis usually requires satisfactory segmentations to identify regions of interest as an intermediate step. Here we present a novel graphical mode...
Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, R...