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Wavelets and decision trees for target detection over sea surface using cosmo-skymed SAR data
(2011-10-19)
We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors ...
Wavelets and decision trees for target detection over sea surface using cosmo-skymed SAR data
(2011-10-19)
We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors ...
Natural Language Explanation Model for Decision Trees
(Institute of Physics Publishing, 2020-01-07)
This study describes a model of explanations in natural language for classification decision trees. The explanations include global aspects of the classifier and local aspects of the classification of a particular instance. ...
A survey of evolutionary algorithms for decision-tree induction
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
This paper presents a survey of evolutionary algorithms that are designed for decision-tree induction. In this context, most of the paper focuses on approaches that evolve decision trees as an alternate heuristics to the ...
Improved Object Recognition with Decision Trees Using Subspace Clustering
(FUJI TECHNOLOGY PRESS LTD, 2016)
Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
The overall success of educational institutions can be measured by the success of its students. Providing factors that increase success rate and reduce the failure of students is profoundly helpful to educational organizations. ...
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
(ElsevierNew York, 2014-02-10)
Decision tree induction algorithms represent one of the most popular techniques for dealing with classification problems. However, traditional decision-tree induction algorithms implement a greedy approach for node splitting ...
Decision Tree based Classifiers for Large Datasets
(Computación y Sistemas; Vol. 17 No. 1, 2013-03-06)
Abstract: In this paper, several algorithms have been developed for building decision trees from large datasets. These algorithms overcome some restrictions of the most recent algorithms in the state of the art. Three of ...
Fisher’s decision tree
(Expert Systems with Applications, 2016)