Results 51 to 60 of about 79,652 (190)

Bayesian classification and regression trees

open access: yes, 2023
The bachelor's thesis is devoted to classification and regression trees, their con- struction, and interpretation. In the first part, the reader gets acquainted with the structure of decision trees, basic definitions, and methodology. In the second part,
Dvořák, Martin
core  

Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems [PDF]

open access: yes, 2010
This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Tran, Van Tung
core   +3 more sources

Simulation-Based Assessment of Classification Methods: Statistical Models vs. Machine Learning Algorithms [PDF]

open access: yesThe Egyptian Statistical Journal
Current studies evaluated the effectiveness of categorization techniques primarily using real datasets with unreported or unknown statistical features. This simulation-based study aims to compare the performance of statistical models (logistic regression,
Ahmed El-Kotory, Reham Beram
doaj   +1 more source

(Decision and regression) tree ensemble based kernels for regression and classification

open access: yesCoRR, 2020
Tree based ensembles such as Breiman's random forest (RF) and Gradient Boosted Trees (GBT) can be interpreted as implicit kernel generators, where the ensuing proximity matrix represents the data-driven tree ensemble kernel. Kernel perspective on the RF has been used to develop a principled framework for theoretical investigation of its statistical ...
Dai Feng, Richard Baumgartner
openaire   +2 more sources

eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning

open access: yesBig Data and Cognitive Computing, 2020
To make healthcare available and easily accessible, the Internet of Things (IoT), which paved the way to the construction of smart cities, marked the birth of many smart applications in numerous areas, including healthcare.
Khaled Fawagreh, Mohamed Medhat Gaber
doaj   +1 more source

KLASIFIKASI KARAKTERISTIK KECELAKAAN LALU LINTAS DI KOTA DENPASAR DENGAN PENDEKATAN CLASSIFICATION AND REGRESSION TREES (CART)

open access: yesE-Jurnal Matematika, 2015
The aim of this research is to determine the classification characteristics of traffic accidents in Denpasar city in January-July 2014 by using Classification And Regression Trees (CART).
I GEDE AGUS JIWADIANA   +2 more
doaj  

Using Diverse Data Sources to Impute Missing Air Quality Data Collected in a Resource-Limited Setting

open access: yesAtmosphere
The sustainable operation of ambient air quality monitoring stations in developing countries is not always possible. Intermittent failures and breakdowns at air quality monitoring stations often affect the continuous measurement of data as required ...
Moses Mogakolodi Kebalepile   +2 more
doaj   +1 more source

Factors Influencing Drug Injection History among Prisoners: A Comparison between Classification and Regression Trees and Logistic Regression Analysis [PDF]

open access: yesAddiction and Health, 2013
Background: Due to the importance of medical studies, researchers of this field should be familiar with various types of statistical analyses to select the most appropriate method based on the characteristics of their data sets.
Azam Rastegari   +2 more
doaj  

Automated Detection of Connective Tissue by Tissue Counter Analysis and Classification and Regression Trees

open access: yesAnalytical Cellular Pathology, 2001
Objective: To evaluate the feasibility of the CART (Classification and Regression Tree) procedure for the recognition of microscopic structures in tissue counter analysis. Methods: Digital microscopic images of H&E stained slides of normal human skin and
Josef Smolle, Peter Kahofer
doaj   +1 more source

Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials

open access: yesTrials, 2018
Background Heterogeneous treatment effects (HTEs), or systematic differences in treatment effectiveness among participants with different observable features, may be important when applying trial results to clinical practice.
Joseph Rigdon   +2 more
doaj   +1 more source

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