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» A Boosting Algorithm for Regression
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EAAI
2006
98views more  EAAI 2006»
15 years 3 months ago
Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...
IJAR
2006
118views more  IJAR 2006»
15 years 3 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
DKE
2007
95views more  DKE 2007»
15 years 3 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
SAC
2008
ACM
15 years 2 months ago
PHALANX: a graph-theoretic framework for test case prioritization
Test case prioritization for regression testing can be performed using different metrics (e.g., statement coverage, path coverage) depending on the application context. Employing ...
Murali Krishna Ramanathan, Mehmet Koyutürk, A...
PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
15 years 1 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand