Results 31 to 40 of about 131,642 (151)

Design of Neuro-Fuzzy Decision Trees

MATEC Web of Conferences, 2016
In order to improve accuracy of fuzzy decision trees classification we propose a procedure of parameters adaptation by means of neural network training.
Abramova Tatyana
doaj   +1 more source

Reconstructing decision trees

, 2020
To appear in ICALP ...
Blanc, Guy, Lange, Jane, Tan, Li-Yang
openaire   +4 more sources

Application of Event Based Decision Tree and Ensemble of Data Driven Methods for Maintenance Action Recommendation

International Journal of Prognostics and Health Management, 2013
This study presents the methods employed by a team from the department of Mechatronics and Dynamics at the University of Paderborn, Germany for the 2013 PHM data challenge.
James K. Kimotho, Christoph Sondermann-Woelke, Tobias Meyer, Walter Sextro   +3 more
doaj   +1 more source

Learning Explainable Decision Rules via Maximum Satisfiability

IEEE Access, 2020
Decision trees are a popular choice for providing explainable machine learning, since they make explicit how different features contribute towards the prediction.
Henrik E. C. Cao, Riku Sarlin, Alexander Jung   +2 more
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Data-Driven EEG Band Discovery with Decision Trees

Sensors, 2022
Electroencephalography (EEG) is a brain imaging technique in which electrodes are placed on the scalp. EEG signals are commonly decomposed into frequency bands called delta, theta, alpha, and beta.
Shawhin Talebi, John Waczak, Bharana A. Fernando, Arjun Sridhar, David J. Lary   +4 more
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Dynamic Decision Trees

Knowledge
Knowledge comes in various forms: scientific, artistic, legal, and many others. For most non-computer scientists, it is far easier to express their knowledge in text than in programming code.
Joseph Vidal, Spriha Jha, Zhenyuan Liang, Ethan Delgado, Bereket Siraw Deneke, Dennis Shasha   +5 more
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Topological Forest

IEEE Access, 2022
We propose a new ML model called Topological Forest that contains an ensemble of decision trees. Unlike a vanilla Random Forest, Topological Forest has a special training process that selects a smaller number of decision trees on a topological graph ...
Murat Ali Bayir, Kiarash Shamsi, Huseyincan Kaynak, Cuneyt Gurcan Akcora   +3 more
doaj   +1 more source

A Modified Random Forest Based on Kappa Measure and Binary Artificial Bee Colony Algorithm

IEEE Access, 2021
Random forest (RF) is an ensemble classifier method, all decision trees participate in voting, some low-quality decision trees will reduce the accuracy of random forest.
Chen Zhang, Xiaofeng Wang, Shengbing Chen, Hong Li, Xiaoxuan Wu, Xin Zhang   +5 more
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Complexity of Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables From Closed Classes

IEEE Access
This paper investigates classes of decision tables (DTs) with 0-1-decisions that are closed under the removal of attributes (columns) and changes to the assigned decisions to rows.
Azimkhon Ostonov, Mikhail Moshkov
doaj   +1 more source

Method of decision tree applied in adopting the decision for promoting a company

Annals of Spiru Haret University Economic Series, 2015
The decision can be defined as the way chosen from several possible to achieve an objective. An important role in the functioning of the decisional-informational system is held by the decision-making methods.
Cezarina Adina TOFAN
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