Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Instance-Based Learning Algorithms
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Floating search methods in feature selection
Pattern Recognition Letters
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Representing the behaviour of supervised classification learning algorithms by Bayesian networks
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Journal of Global Optimization
Machine Learning
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Combinatorial optimization by learning and simulation of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
On the sample complexity of learning Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Approximating discrete probability distributions with dependence trees
IEEE Transactions on Information Theory
A new Bayesian tree learning method with reduced time and space complexity
Fundamenta Informaticae
Mining Bayesian Network Structure for Large Sets of Variables
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
On Applying Supervised Classification Techniques in Medicine
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Genetic Programming and Evolvable Machines
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Efficient huge-scale feature selection with speciated genetic algorithm
Pattern Recognition Letters
Journal of Biomedical Informatics - Special issue: Clinical machine learning
Analysis of new variable selection methods for discriminant analysis
Computational Statistics & Data Analysis
Wrapper discretization by means of estimation of distribution algorithms
Intelligent Data Analysis
Different metaheuristic strategies to solve the feature selection problem
Pattern Recognition Letters
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Data mining for quality control: Burr detection in the drilling process
Computers and Industrial Engineering
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Discriminative learning of bayesian network classifiers via the TM algorithm
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Filter versus wrapper gene selection approaches in DNA microarray domains
Artificial Intelligence in Medicine
A New Bayesian Tree Learning Method with Reduced Time and Space Complexity
Fundamenta Informaticae
Score-based methods for learning Markov boundaries by searching in constrained spaces
Data Mining and Knowledge Discovery
A novel classification learning framework based on estimation of distribution algorithms
International Journal of Computing Science and Mathematics
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
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The transjugular intrahepatic portosystemic shunt (TIPS) is an interventional treatment for cirrhotic patients with portal hypertension. In the light of our medical staff's experience, the consequences of TIPS are not homogeneous for all the patients and a subgroup dies in the first 6 months after TIPS placement. Actually, there is no risk indicator to identify this subgroup of patients before treatment. An investigation for predicting the survival of cirrhotic patients treated with TIPS is carried out using a clinical database with 107 cases and 77 attributes. Four supervised machine learning classifiers are applied to discriminate between both subgroups of patients. The application of several feature subset selection (FSS) techniques has significantly improved the predictive accuracy of these classifiers and considerably reduced the amount of attributes in the classification models. Among FSS techniques, FSS-TREE, a new randomized algorithm inspired on the new EDA (estimation of distribution algorithm) paradigm has obtained the best average accuracy results for each classifier.