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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 5 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
MODELS
2009
Springer
15 years 4 months ago
Teaching Modeling: Why, When, What?
This paper reports on a panel discussion held during the Educators’ Symposium at MODELS’2009. It shortly explains the context provided for the discussion and outlines the state...
Jean Bézivin, Robert France, Martin Gogolla...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 3 months ago
Connecting the dots between news articles
The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists...
Dafna Shahaf, Carlos Guestrin
CISIS
2010
IEEE
15 years 3 months ago
A Pattern-Based Coordination and Test Framework for Multi-Agent Simulation of Production Automation Systems
— Production automation systems consist of many entities (like robots and shuttles) that interact in complex ways to provide the overall system functionality like product assembl...
Thomas Moser, Munir Merdan, Stefan Biffl
90
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AAAI
2007
15 years 2 months ago
Biomind ArrayGenius and GeneGenius: Web Services Offering Microarray and SNP Data Analysis via Novel Machine Learning Methods
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
Ben Goertzel, Cassio Pennachin, Lúcio de So...