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» RuleViz: a model for visualizing knowledge discovery process
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GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
15 years 3 months ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
CORR
2010
Springer
165views Education» more  CORR 2010»
14 years 9 months ago
Physically-based particle simulation and visualization of pastes and gels
This paper is focused on the question of simulation and visualization of 3D gel and paste dynamic effects. In a first part, we introduce a 3D physically based particle (or mass-in...
Claire Guilbaud, Annie Luciani, Nicolas Castagn&ea...
EKAW
2006
Springer
15 years 1 months ago
Iterative Bayesian Network Implementation by Using Annotated Association Rules
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Clément Fauré, Sylvie Delprat, Jean-...
AI
2006
Springer
14 years 9 months ago
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Shou de Lin, Kevin Knight
CORR
2010
Springer
173views Education» more  CORR 2010»
14 years 7 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat