Apr 26, 2012 · Papagelis and Kalles46 proposed a GATree methodology of building decision trees using genetic algorithms to directly evolve decision trees.
Apr 26, 2012 · Decision trees (DT) are a type of data classifiers. A typical classifier works in two phases. In the first, the learning phase, ...
A decision tree is basic machine learning model and is suitable for solving multifactorial diagnostic problems with hierarchical variables [36, 37]. In the ...
We explore the use of genetic algorithms to directly evolve classification decision trees. We argue on the suitability of such a concept learner due to its ...
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We developed and evaluated a novel evolutionary algorithm for fuzzy decision trees to accurately identify patients with poor outcome after endovascular ...
Apr 18, 2021 · An evolutionary algorithm for discretization of multiple attributes, called Decision tree Improved by Multiple sPLits with Evolutionary algorithm for ...
Therefore we decided to try something else-evolutionary construction of decision trees based on genetic algorithms. The whole evolution process has been defined ...
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One of the most viable among models are decision trees, already successfully used for many medical decision making purposes. Although effective and reliable, ...
Abstract—Decision-tree induction algorithms are widely used in machine learning applications in which the goal is to extract knowledge from data and present ...