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ECAI
2008
Springer
15 years 3 months ago
The Impact of Constraint Programming
Constraint satisfaction problems (CSPs) are ubiquitous in many real-world contexts. However, modeling a problem as a CSP can be very challenging, usually requiring considerable ex...
Pascal Van Hentenryck
108
Voted
SBRN
2000
IEEE
15 years 6 months ago
An Evolutionary Immune Network for Data Clustering
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
Leandro Nunes de Castro, Fernando J. Von Zuben
135
Voted
ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 1 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
ACCV
2010
Springer
14 years 8 months ago
Towards Full 3D Helmholtz Stereovision Algorithms
Helmholtz stereovision methods are limited to binocular stereovision or depth maps reconstruction. In this paper, we extend these methods to recover the full 3D shape of the object...
Amaël Delaunoy, Emmanuel Prados, Peter N. Bel...
BMCBI
2007
130views more  BMCBI 2007»
15 years 1 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...