Výsledky vyhledávání - improved tree machine algorithm

Intelligent Teaching Recommendation Model for Practical Discussion Course of Higher Education Based on Naive Bayes Machine Learning and Improved k -NN Data Mining Algorithm.

Autoři: Zhou, Xiao Guo, Ling Li, Rui a další

Zdroj: Information. Jun2025, Vol. 16 Issue 6, p512. 50p.

Témata: *Machine learning, *Data mining, Classes (Groups of students), Student interests, Discussion in education

Machine learning algorithms for 5G optical networks

Autoři: Ibrahim Mohamed Badr, Asmaa

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Prat Gomà, Josep Joan

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

Time: 621.3

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/690170
https://dx.doi.org/10.5821/dissertation-2117-403554

Improving 3-day deterministic air pollution forecasts using machine learning algorithms

Autoři: Zhang, Zhiguo Johansson, Christer Engardt, Magnuz a další

Zdroj: Atmospheric Chemistry And Physics. 24(2):807-851

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-343475
https://doi.org/10.5194/acp-24-807-2024

Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment.

Autoři: Rudwan, Mohammed Suleiman Mohammed Fonou-Dombeu, Jean Vincent

Zdroj: Future Internet. Jul2023, Vol. 15 Issue 7, p229. 31p.

Témata: *Machine learning, *Natural language processing, Deep learning, K-nearest neighbor classification, Ontology, Fuzzy algorithms, Regression trees

Enhancing coronary heart disease diagnosis: Comparative analysis of data pre-processing techniques and machine learning models using clinical medical records.

Autoři: Tseng, Chun-Wei Sun, Ling-Chun Lin, Ke-Feng a další

Zdroj: Health Informatics Journal. Jul-Sep2025, Vol. 31 Issue 3, p1-20. 20p.

Témata: *Data mining, *Medical informatics, *Electronic health records, *Machine learning, *Decision trees, Predictive tests, Random forest algorithms, Statistical models, Coronary disease, Prediction models, Research funding, Clinical decision support systems, Digital health, Descriptive statistics, Computer-aided diagnosis, Comparative studies, Data analysis software, Sensitivity & specificity (Statistics), Predictive validity

A forestry investigation: Exploring factors behind improved tree species classification using bark images

Autoři: Gokul Kottilapurath Surendran Deekshitha Martin Lukac a další

Zdroj: Ecological Informatics, Vol 85, Iss , Pp 102932- (2025)

Témata: Tree species classification, Machine learning, Close-range remote sensing, Grid search, CNN parameter tuning, Information technology, T58.5-58.64, Ecology, QH540-549.5

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1574954124004746; https://doaj.org/toc/1574-9541

Přístupová URL adresa: https://doaj.org/article/cafabc721a144303a544a26b28224385

Visualization of Machine Learning Algorithms

Visualização de Algoritmos de Machine Learning

Autoři: Silva, Eduarda Jorge da

Témata: Visualização de Dados, Random forest, Árvores de decisão, Features, Data Visualization, Decision trees

Dostupnost: https://hdl.handle.net/10316/110562

Research on Prediction and Model Construction of Innovative and Entrepreneurial Mental Health Status Based on Random Forest Algorithm.

Autoři: Huang, Li

Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p8829-8844, 16p

Témata: SUPPORT vector machines, PREDICTION models, MENTAL health, BUSINESSPEOPLE, RANDOM forest algorithms, DECISION trees

Multi-ahead electrical conductivity forecasting of surface water based on machine learning algorithms

Autoři: Kumar, Deepak Singh, Vijay Kumar Abed, Salwan Ali a další

Zdroj: Applied water science. 13(10)

Témata: Decision tree, Multilayer perceptron, Random forest, Co-adaptive neuro-fuzzy inference system, Electrical conductivity, Soil Mechanics, Geoteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-101311
https://doi.org/10.1007/s13201-023-02005-1

A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm.

Autoři: Hajihosseinlou, Mahsa Maghsoudi, Abbas Ghezelbash, Reza

Zdroj: Natural Resources Research; Dec2023, Vol. 32 Issue 6, p2417-2438, 22p

Témata: MACHINE learning, BOOSTING algorithms, DECISION trees, GEOLOGICAL modeling, REMOTE sensing, SAMPLING methods, ALGORITHMS

Geografický termín: IRAN

Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights.

Autoři: Genuario, Filippo Santoro, Giuseppe Giliberti, Michele a další

Zdroj: Information. Nov2024, Vol. 15 Issue 11, p741. 27p.

Témata: *Machine learning, *Decision trees, Computer network traffic, Random forest algorithms, Support vector machines, Deep learning

[Tree species information extraction of farmland returned to forests based on improved support vector machine algorithm].

Autoři: Wu J Peng DL

Zdroj: Guang pu xue yu guang pu fen xi = Guang pu [Guang Pu Xue Yu Guang Pu Fen Xi] 2011 Apr; Vol. 31 (4), pp. 1038-41.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Beijing da xue chu ban she Country of Publication: China NLM ID: 9424805 Publication Model: Print Cited Medium: Print ISSN: 1000-0593 (Print) Linking ISSN: 10000593 NLM ISO Abbreviation: Guang Pu Xue Yu Guang Pu Fen Xi Subsets: MEDLINE

Výrazy ze slovníku MeSH: Forests* , Support Vector Machine*, Trees/*classification, Agriculture ; Algorithms ; Spectrum Analysis

Predicting Efficiency and Capacity of Drag Embedment Anchors in Sand Seabed Using Tree Machine Learning Algorithms.

Autoři: Olyasani, Mojtaba Azimi, Hamed Shiri, Hodjat

Zdroj: Geotechnics; Sep2025, Vol. 5 Issue 3, p56, 21p

Témata: GEOTECHNICAL engineering, ANCHORS, OCEAN bottom, RENEWABLE energy sources, MECHANICAL efficiency, MACHINE learning, OFFSHORE structures

Towards the improvement of decision tree learning: a perspective on search and evaluation

Autoři: Nunes, Cecília

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Camara Rey, Oscar, Jonsson, Anders

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Interpretable models, Decision tree learning, Data mining, Machine learning, Decision-support systems, Monte Carlo tree search, Modelos interpretables, Aprendizaje de árboles de decisión, Minería de datos, Aprendizaje de patrones, Sistemas de toma de decisión, Árbol de búsqueda Monte Carlo

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/667879

A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis

Autoři: Temidayo Oluwatosin Omotehinwa David Opeoluwa Oyewola Emmanuel Gbenga Dada

Zdroj: Healthcare Analytics, Vol 4, Iss , Pp 100218- (2023)

Témata: Breast cancer, Machine learning, Tree-Structured Parzen Estimator, Light Gradient-Boosting Machine, Borderline-SMOTE, Hyperparameter tuning, Computer applications to medicine. Medical informatics, R858-859.7

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772442523000850; https://doaj.org/toc/2772-4425

Přístupová URL adresa: https://doaj.org/article/f4292d0b70f748c8b5193e56f6d171de

Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease

Autoři: Temidayo Oluwatosin Omotehinwa David Opeoluwa Oyewola Ervin Gubin Moung

Zdroj: Informatics and Health, Vol 1, Iss 2, Pp 70-81 (2024)

Témata: Clinical decision making, Coronary heart disease, Light gradient-boosting machine, Machine learning, MICE, Tree-structured Parzen estimator, Information technology, T58.5-58.64, Medicine

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2949953424000122; https://doaj.org/toc/2949-9534

Přístupová URL adresa: https://doaj.org/article/d09efeb07fff465dbaccd1b04c01c354

An analysis of road geometry and characteristics that affects on accident rates in Tamilnadu roadways using novel decision tree algorithm compared with support vector machine algorithm.

Autoři: Gopi, Bhojaraju Rama, A.

Zdroj: AIP Conference Proceedings; 2023, Vol. 2822 Issue 1, p1-8, 8p

Témata: DECISION trees, SUPPORT vector machines, GEOMETRY, ROAD construction, ALGORITHMS, TRAFFIC accidents

Geografický termín: TAMIL Nadu (India)

An optimal approach for fraud detection by comparing random forest algorithm and support vector machine algorithm for credit card transaction with improved accuracy.

Autoři: Kumar, K. Yashwanth Vani, B.

Zdroj: AIP Conference Proceedings; 2023, Vol. 2821 Issue 1, p1-6, 6p

Témata: RANDOM forest algorithms, SUPPORT vector machines, FRAUD investigation, CREDIT cards, CREDIT card fraud, MACHINE learning, WALLETS

Classification of Knee X-rays That Can Be Diagnosed Radiographically Using Deep Learning and Machine Learning Methods.

Alternate Title: Radyografik Olarak Tanı Konulabilen Diz Röntgenlerinin Derin Öğrenme ve Makine Öğrenmesi Yöntemleri ile Sınıflandırılması. (Turkish)

Autoři: ÜRETEN, Kemal DURAN, Semra MARAŞ, Yüksel a další

Zdroj: Duzce University Journal of Science & Technology; tem2025, Vol. 13 Issue 3, p1297-1308, 12p

Témata: MACHINE learning, KNEE osteoarthritis, SUPPORT vector machines, RANDOM forest algorithms, X-ray imaging, DEEP learning

Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight.

Autoři: Xuan Chen Krzysztof Przystupa Zhiwei Ye a další

Zdroj: Maintenance & Reliability / Eksploatacja i Niezawodność; 2022, Vol. 24 Issue 1, p153-162, 10p

Témata: LOAD forecasting (Electric power systems), LEVY processes, MACHINE learning, TRAFFIC estimation, PRINCIPAL components analysis, FORECASTING, ALGORITHMS