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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
16 years 28 days ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ISSAC
2001
Springer
123views Mathematics» more  ISSAC 2001»
15 years 11 months ago
A probabilistic algorithm to test local algebraic observability in polynomial time
The following questions are often encountered in system and control theory. Given an algebraic model of a physical process, which variables can be, in theory, deduced from the inp...
Alexandre Sedoglavic
ENTCS
2007
115views more  ENTCS 2007»
15 years 6 months ago
A Global Algorithm for Model-Based Test Suite Generation
Abstract. Model-based testing has been proposed as a technique to automatically verify that a system conforms to its specification. A popular approach is to use a model-checker to...
Anders Hessel, Paul Pettersson
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 7 days ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
ISMB
2000
15 years 8 months ago
Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis
The immensevolumeof data resulting from DNAmicroarray experiments, accompaniedby an increase in the numberof publications discussing gene-related discoveries, presents a majordata...
Hagit Shatkay, Stephen Edwards, W. John Wilbur, Ma...