Results 41 to 50 of about 3,746,451 (299)

Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]

, 2014
Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Marcin Czajkowski, Czajkowski, Marcin, Grzes, Marek, Marek Grześ, Marek Kretowski, Kretowski, Marek   +5 more
core   +1 more source

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

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
doaj   +1 more source

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]

, 2009
This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van, Tran, Van Tung, Oh, Myung-Suck, Tan, Andy   +5 more
core   +1 more source

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
doaj   +1 more source

Applicability of decision trees in manufacturing industry [PDF]

Computer Methods in Materials Science, 2008
In manufacturing companies large amounts of data are collected and stored, related to designs, products, equipment, materials, manufacturing processes etc.
Marcin Perzyk, Robert Biernacki, Artur Soroczyński   +2 more
doaj   +1 more source

Utilizing fuzzy decision trees in decision making

, 2008
The seminal work of Zadeh (1965), namely fuzzy set theory (FST), has developed into a methodology fundamental to analysis that incorporates vagueness and ambiguity.
Beynon, Malcolm James, Malcolm J. Beynonm   +1 more
core   +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
doaj   +1 more source

Fuzzy decision trees

, 2008
The inductive learning methodology known as decision trees, concerns the ability to classify objects based on their attributes values, using a tree like structure from which decision rules can be accrued.
Beynon, Malcolm James, Malcolm J. Beynon
core   +1 more source

Applications of Depth Minimization of Decision Trees Containing Hypotheses for Multiple-Value Decision Tables

Entropy, 2023
In this research, we consider decision trees that incorporate standard queries with one feature per query as well as hypotheses consisting of all features’ values.
Mohammad Azad, Mikhail Moshkov
doaj   +1 more source