Results 41 to 50 of about 5,778,654 (336)
CSNL: A cost-sensitive non-linear decision tree algorithm [PDF]
This article presents a new decision tree learning algorithm called CSNL that induces Cost-Sensitive Non-Linear decision trees. The algorithm is based on the hypothesis that nonlinear decision nodes provide a better basis than axis-parallel decision ...
Allwein E. L. +20 more
core +3 more sources
Learning Explainable Decision Rules via Maximum Satisfiability
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 +2 more
doaj +1 more source
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 +3 more
doaj +1 more source
Decision Stream: Cultivating Deep Decision Trees
Various modifications of decision trees have been extensively used during the past years due to their high efficiency and interpretability. Tree node splitting based on relevant feature selection is a key step of decision tree learning, at the same time ...
Ignatov, Andrey, Ignatov, Dmitry
core +1 more source
Prediction of survival probabilities with Bayesian Decision Trees [PDF]
Practitioners use Trauma and Injury Severity Score (TRISS) models for predicting the survival probability of an injured patient. The accuracy of TRISS predictions is acceptable for patients with up to three typical injuries, but unacceptable for patients
Bailey +50 more
core +2 more sources
Secure training of decision trees with continuous attributes
We apply multiparty computation (MPC) techniques to show, given a database that is secret-shared among multiple mutually distrustful parties, how the parties may obliviously construct a decision tree based on the secret data.
Mark Abspoel +2 more
semanticscholar +1 more source
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 +5 more
doaj +1 more source
Data-Driven EEG Band Discovery with Decision Trees
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 +4 more
doaj +1 more source
Temporary staffing services: a data mining perspective [PDF]
Research on the temporary staffing industry discusses different topics ranging from workplace safety to the internationalization of temporary labor. However, there is a lack of data mining studies concerning this topic.
D'Haen, Jeroen, Van den Poel, Dirk
core +1 more source

