Výsledky vyhledávání - "Tree algorithms"

The supporting hyperplane optimization toolkit for convex MINLP

Autoři: Lundell, A. Kronqvist, Jan Westerlund, T.

Zdroj: Journal of Global Optimization. 84(1):1-41

Témata: Convex mixed-integer nonlinear programming (MINLP), Extended cutting plane (ECP) algorithm, Extended supporting hyperplane (ESH) algorithm, Multi-tree and single-tree algorithms, Polyhedral outer approximation (POA), Supporting hyperplane optimization toolkit (SHOT), Approximation algorithms, Benchmarking, Forestry, Integer programming, Iterative methods, Linearization, Nonlinear programming, Open source software, Trees (mathematics), Convex mixed-integer nonlinear programming, Cutting plane algorithms, Extended cutting plane algorithm, Extended supporting hyperplane algorithm, Mixed-integer nonlinear programming, Multi-tree and single-tree algorithm, Optimisations, Outer approximation, Polyhedral outer approximation, Supporting hyperplane optimization toolkit, Tree algorithms, Geometry

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-320541
https://doi.org/10.1007/s10898-022-01128-0

Estimation of the Double-Cage Model for Three-Phase Induction Machines Using Decision Tree-Based Algorithms

Autoři: Eduardo Ferreira Rios Oliveira Rafael Santos Marcelo Godoy Simões a další

Zdroj: IEEE Open Journal of the Industrial Electronics Society, Vol 6, Pp 915-926 (2025)

Témata: TK7800-8360, Industrial engineering. Management engineering, double-cage model (DCM), induction machines, Electronics, T55.4-60.8, parameter estimation, Decision tree algorithms

Přístupová URL adresa: https://doaj.org/article/6ca6dd66ebd043e69ccceb54ca95ed30

An Ontology-Based Approach for Heart Disease Prediction Leveraging Decision Trees in Healthcare

Autoři: U. Priyadharshini R. Vijayan

Zdroj: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-27 (2025)

Témata: Ontology-based system, Heart disease prediction, Clinical ontology, Decision tree algorithms, Graph neural networks (GNN), Semantic web rule language (SWRL), Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1875-6883

Přístupová URL adresa: https://doaj.org/article/a247300468904c5ab07bccd4b1dc3f03

A surrogate approach to model groundwater level in time and space based on tree regressors

Autoři: Pedro Martínez-Santos Víctor Gómez-Escalonilla Silvia Díaz-Alcaide a další

Zdroj: Applied Water Science, Vol 15, Iss 8, Pp 1-17 (2025)

Témata: Regression, Machine learning, Groundwater modeling, Tree algorithms, Surrogate models, Black box, Water supply for domestic and industrial purposes, TD201-500

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2190-5487; https://doaj.org/toc/2190-5495

Přístupová URL adresa: https://doaj.org/article/ae267c8ab58d48038c80f0f3918c1790

Energy modeling of Hoeffding tree ensembles

Autoři: García-Martín, E. Bifet, A. Lavesson, Niklas, Professor

Zdroj: Intelligent Data Analysis. 25(1):81-104

Témata: Data stream mining, Energy efficiency, Ensembles, GreenAI, Hoeffding trees, Energy utilization, Forestry, Adaptation methods, Algorithm design, Energy patterns, Predictive accuracy, Socio-ecological, State of the art, Substantial energy, Tree algorithms, Green computing

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-51923
https://doi.org/10.3233/IDA-194890

An autonomic parallel strategy for exhaustive search tree algorithms on shared or heterogeneous systems

Autoři: Gonçalves de Oliveira Passos, Fernanda Rebello, Vinod E. F. RCIPL

Přispěvatelé: Gonçalves de Oliveira Passos, Fernanda Rebello, Vinod E. F. RCIPL

Témata: Autonomic computing, Heterogeneous distributed systems, Parallel branch-and-prune algorithms, Search tree algorithms, Self-configuring parallel algorithms

Popis souboru: application/pdf

Relation: 1532-0626

Dostupnost: http://hdl.handle.net/10400.21/21984

Predicting Hospital No-Shows: Interpretable Machine Learning Models Approach

Autoři: Khaled M. Toffaha Mecit Can Emre Simsekler Aamna Alshehhi a další

Zdroj: IEEE Access, Vol 12, Pp 166058-166067 (2024)

Témata: greedy tree classifiers, decision tree algorithms, hierarchical shrinkage trees, additive model trees, healthcare analytics, Electrical engineering. Electronics. Nuclear engineering, Patient no-shows, TK1-9971

Přístupová URL adresa: https://doaj.org/article/dc5a5434576b41cab859b0f2aed9ffc4

Establishment of the Model for Estimating the Organic Carbon Content of Forest Topsoil Based on Remote Sensing Data

Autoři: Shulin Zheng Jie Zhang Mingyue Song a další

Zdroj: IEEE Access, Vol 12, Pp 162062-162074 (2024)

Témata: remote sensing data, linear regression algorithms, Topsoil organic carbon content, Electrical engineering. Electronics. Nuclear engineering, regression tree algorithms, TK1-9971

Přístupová URL adresa: https://doaj.org/article/5459c55b93254ff889db8e4281003f52

Performance evolution for sentiment classification using machine learning algorithm

Autoři: Hassan, Faisal Qureshi, Naseem Afzal Khan, Muhammad Zohaib a další

Přispěvatelé: Hassan, Faisal Qureshi, Naseem Afzal Khan, Muhammad Zohaib a další

Zdroj: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Universitat Politècnica de València (UPV)
Journal of Applied Research in Technology & Engineering, Vol 4, Iss 2, Pp 97-110 (2023)

Témata: Technology, decision tree algorithms, k-means, logistic regression, Machine Learning (ML), Logistic regression, 02 engineering and technology, Decision Tree Algorithms, machine learning, 0202 electrical engineering, electronic engineering, information engineering, K-Means, Information Retrieval Techniques (IRT), random forest, Random forest

Popis souboru: application/pdf

Přístupová URL adresa: https://riunet.upv.es/handle/10251/195359
https://doaj.org/article/dd3e0a4c7fbb4b08b7c6201ad7adbb30

A Comparative Analysis of Decision Tree Classification Algorithms for Blended Learning Analytics in WEKA

Autoři: Marivic Mitschek Rosanna Esquivel

Zdroj: Celt: A Journal of Culture, English Language Teaching & Literature, Vol 23, Iss 2, Pp 321-334 (2023)

Témata: Language and Literature, 4. Education, blended learning, learning analytics, decision tree algorithms, j48, random forest, simplecart, Education (General), L7-991

Přístupová URL adresa: https://doaj.org/article/69ce94834779454889f0348886b65484

Tree-Algorithms With Multi-Packet Reception and Successive Interference Cancellation

Autoři: Čedomir Stefanović Yash Deshpande H. Murat Gürsu a další

Zdroj: Stefanović, Č, Deshpande, Y, Gürsu, H M & Kellerer, W 2023, 'Tree-Algorithms with Multi-Packet Reception and Successive Interference Cancellation', IEEE Transactions on Communications, vol. 71, no. 11, pp. 6287-6300. https://doi.org/10.1109/TCOMM.2023.3305467
IEEE Transactions on Communictions

Témata: Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, 0209 industrial biotechnology, Computer Science - Information Theory, Information Theory (cs.IT), multi-packet reception (MPR), 05 social sciences, successive interference cancellation (SIC), 02 engineering and technology, Computer Science - Networking and Internet Architecture, 0508 media and communications, Random-access protocols, 0202 electrical engineering, electronic engineering, information engineering, tree algorithms, massive IoT communications

Přístupová URL adresa: http://arxiv.org/abs/2108.00906
https://arxiv.org/pdf/2108.00906
https://vbn.aau.dk/da/publications/b0098d98-a612-4112-90a0-0a1fbfc6e3cb
https://doi.org/10.1109/TCOMM.2023.3305467
http://www.scopus.com/inward/record.url?scp=85168299997&partnerID=8YFLogxK

Development of regression models for estimating main particulars of RoPax vessels in the conceptual design stage

Autoři: Francesco Mauro Ahmed Salem

Zdroj: Ocean Engineering. 333:121407

Témata: Forest tree algorithms, Multiple linear regression, Regression models, RoPax vessels, Ship design

Přístupová URL adresa: https://hdl.handle.net/11368/3110479
https://doi.org/10.1016/j.oceaneng.2025.121407

Refinable modeling for unbinned SMEFT analyses

Autoři: Robert Schöfbeck

Zdroj: Machine Learning: Science and Technology, Vol 6, Iss 1, p 015007 (2025)

Témata: systematic uncertainties, effective field theory, tree algorithms, boosting, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Relation: https://doi.org/10.1088/2632-2153/ad9fd1; https://doaj.org/toc/2632-2153; https://doaj.org/article/a86b6d1800004c6faf5b44d42b09bf6c

Dostupnost: https://doi.org/10.1088/2632-2153/ad9fd1
https://doaj.org/article/a86b6d1800004c6faf5b44d42b09bf6c

Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy

Autoři: Aitor Garcia-Vozmediano Cristiana Maurella Leonardo A. Ceballos a další

Zdroj: Veterinary Research, Vol 55, Iss 1, Pp 1-14 (2024)

Témata: Supervised learning, decision tree algorithms, disease surveillance, food products, salmonellosis, transdisciplinarity, Veterinary medicine, SF600-1100

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1297-9716

Přístupová URL adresa: https://doaj.org/article/bc3027ff4c604a52980f395f67b492ed

Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms

Autoři: Nhu, Viet-Ha Shahabi, Himan Nohani, Ebrahim a další

Zdroj: ISPRS International Journal of Geo-Information. 9(8)

Témata: lake water level, lag time, decision tree algorithms, prediction accuracy, forecasting water level, Soil Mechanics, Geoteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80289
https://doi.org/10.3390/ijgi9080479

A Novel Approach for Disaster Victim Detection Under Debris Environments Using Decision Tree Algorithms With Deep Learning Features

Autoři: G. Seeja Arockia Selvakumar Arockia Doss V. Berlin Hency

Zdroj: IEEE Access, Vol 11, Pp 54760-54772 (2023)

Témata: machine learning, Search and rescue, decision tree algorithms, collapsed building, deep learning, Electrical engineering. Electronics. Nuclear engineering, disaster victim detection, TK1-9971

Přístupová URL adresa: https://doaj.org/article/a1651d09a52e4afda7d556cbf44eb58c

Implementation of the Decission Tree Algorithm to Determine Credit Worthiness

Autoři: Abdussomad Abdussomad Ilham Kurniawan Agung Wibowo

Zdroj: Compiler, Vol 12, Iss 2, Pp 103-108 (2023)

Témata: credit analysis, decision tree models, decision tree algorithms, Technology (General), T1-995, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://ejournals.itda.ac.id/index.php/compiler/article/view/1911; https://doaj.org/toc/2252-3839; https://doaj.org/toc/2549-2403

Přístupová URL adresa: https://doaj.org/article/1c5fa475dc3d45879aca7da6c7f3467a

A Surrogate Approach to Model Groundwater Level in Time and Space Based on Tree Regressors

Autoři: Pedro Martínez-Santos Víctor Gómez-Escalonilla Silvia Díaz-Alcaide a další

Přispěvatelé: Pedro Martínez-Santos Víctor Gómez-Escalonilla Silvia Díaz-Alcaide a další

Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Docta Complutense
instname

Témata: Hidrología, 556.3, Surrogate models, Black box, Machine learning, 2508 Hidrología, Groundwater modeling, Tree algorithms, Regression

Popis souboru: application/pdf

Přístupová URL adresa: https://api.elsevier.com/content/abstract/scopus_id/105011058422
http://hdl.handle.net/10261/398541
https://hdl.handle.net/20.500.14352/123031

A comparative study of deep learning and decision tree based ensemble learning algorithms for network traffic identification

Autoři: Nedeljko Nikolić Slavica Tomović Igor Radusinović

Zdroj: Telfor Journal, Vol 14, Iss 2, Pp 61-66 (2022)

Témata: ensemble machine learning, Telecommunication, 0202 electrical engineering, electronic engineering, information engineering, deep learning, computer networks, traffic identification, TK5101-6720, 02 engineering and technology, decision-tree algorithms

Přístupová URL adresa: https://doaj.org/article/2d3b440c2c5649e6a51cc202cb5bac57

Futbol Verilerinin Karar Ağaçları ve Lojistik Regresyon Yöntemleri ile İncelenmesi

Autoři: Duygu TOPÇU Özgül VUPA ÇİLENGİROĞLU

Zdroj: Volume: 6, Issue: 2 491-503
Journal of Sport Sciences Research
Spor Bilimleri Araştırmaları Dergisi

Témata: 03 medical and health sciences, 0302 clinical medicine, Turizm (Diğer), Tourism (Other), 0502 economics and business, 05 social sciences, Football, Logistic Regression, Desicions Tree Algorithms, Futbol, Lojistik Regresyon, Karar Ağaçları Algoritmaları

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/download/article-file/1907576
https://avesis.deu.edu.tr/publication/details/3f755b4e-0c59-4ad1-819f-897f82837e22/oai
https://dergipark.org.tr/tr/pub/jssr/issue/65795/978449