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Ergebnis der Suche nach: tit all "Support Vector Machines"
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Online Ressourcen 11 Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests
Pinheiro, Maria Eduarda. - Trier : Universität Trier, 2024
Online Ressource
Online Ressourcen 12 Vergleichende Analyse zwischen Support Vector Machines und Convolutional Neural Networks zur Texterkennung im MNIST-Datensatz
Tellerfink, Heribert. - München : GRIN Verlag, 2024, 1. Auflage
Online Ressource
Online Ressourcen 13 Vergleichende Analyse zwischen Support Vector Machines und Convolutional Neural Networks zur Texterkennung im MNIST-Datensatz
Tellerfink, Heribert. - München : GRIN Verlag, 2024, 1. Auflage
Online Ressource
Artikel 14 Optimization meets machine learning: an exact algorithm for semi-supervised support vector machines
Enthalten in Mathematical programming 19.12.2024: 1-43
Online Ressource
Artikel 15 Comparison of support vector machines (SVMs) and the learning vector quantization (LVQ) techniques for geological domaining: a case study from Darehzar porphyry copper deposit, SE Iran
Enthalten in Earth science informatics 23.8.2024: 1-16
Online Ressource
Artikel 16 Integration of virtual reality and Support Vector Machines (SVM) in the clinical training of breast palpation
Enthalten in Multimedia tools and applications 13.8.2024: 1-21
Online Ressource
Artikel 17 Methods for class-imbalanced learning with support vector machines: a review and an empirical evaluation
Enthalten in Soft computing 25.7.2024: 1-22
Online Ressource
Artikel 18 Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines
Enthalten in Top 16.5.2024: 1-38
Online Ressource
Artikel 19 Hybrid Approach for Streamflow Prediction: LASSO-Hampel Filter Integration with Support Vector Machines, Artificial Neural Networks, and Autoregressive Distributed Lag Models
Enthalten in Water resources management 18.4.2024: 1-18
Online Ressource
Artikel 20 Estimating the girth distribution of rubber trees using support and relevance vector machines
Enthalten in Applied geomatics 21.2.2024: 1-9
Online Ressource


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