Results 1 to 10 of about 133,362 (165)
Learning using privileged information: SVM+ and weighted SVM [PDF]
Neural Networks, 2014 Prior knowledge can be used to improve predictive performance of learning algorithms or reduce the amount of data required for training. The same goal is pursued within the learning using privileged information paradigm which was recently introduced by Vapnik et al.
Matthias Hein
exaly +6 more sources
Generalization of Parameter Selection of SVM and LS-SVM for Regression [PDF]
Machine Learning and Knowledge Extraction, 2019 A Support Vector Machine (SVM) for regression is a popular machine learning model that aims to solve nonlinear function approximation problems wherein explicit model equations are difficult to formulate. The performance of an SVM depends largely on the selection of its parameters.
Tomoko Shirai +2 more
exaly +3 more sources
Total Stability of SVMs and Localized SVMs
CoRR, 2021 30 pages, 1 ...
Hannes Köhler, Andreas Christmann
openaire +4 more sources
PRODUÇÃO DE VERDADES SOBRE A DOAÇÃO DE SANGUE: UMA ANÁLISE NA PERSPECTIVA DE FOUCAULT
Hematology, Transfusion and Cell Therapy, 2023 Introdução: Em diferentes contextos, bem como no processo de doação de sangue, as verdades vão se recriando, e o sujeito vai se constituindo, criando a si mesmo como um sujeito em transformação. A produção de verdades se reflete nas práticas de doação de
SVM Galvão, IC Velloso
doaj +1 more source
Animals, 2022 The morphology of the gastrointestinal tract (GI) is a strong indicator of a species’ dietary habits. The objective of this study was to describe and quantitatively analyze the gross and microanatomy of the digestive tract of the orange/red-rumped agouti
Kegan Romelle Jones +2 more
doaj +1 more source
Geometric SVM: a fast and intuitive SVM algorithm [PDF]
Object recognition supported by user interaction for service robots, 2003 We present a geometrically motivated algorithm for finding the Support Vectors of a given set of points. This algorithm is reminiscent of the DirectSVM algorithm, in the way it picks data points for inclusion in the Support Vector set, but it uses an optimization based approach to add them to the Support Vector set.
Vishwanathan, SVN, Murty, Narasimha M
openaire +2 more sources
G_(α,β) Antagonistic Intuitionistic Fuzzy Sub Commutative Ideals of Subtraction G-Algebra
Ratio Mathematica, 2022 The notions of over antagonistic intuitionistic fuzzy sub commutative ideals of subtraction G-algebras are introduced. The characterization properties of antagonistic intuitionistic fuzzy sub commutative ideals are obtained. We investigate the relations
B Lena, C Ragavan
doaj +1 more source
BMC Bioinformatics, 2007 Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being considered in a number of different ways.An SVM-based clustering algorithm is introduced that clusters data with no a priori knowledge of input classes.
Stephen Winters-Hilt, Sam Merat
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Scope for growth and dietary needs of Mediteranean Pinnids maintained in captivity
BMC Zoology, 2022 Background The measurement of the energy available for growth (scope of growth, SFG) can be used in bivalves to make a long-term prediction in a short-term experiment of the condition of the individual.
S. Hernandis +6 more
doaj +1 more source
Trichuris spp. in Animals, with Specific Reference to Neo-Tropical Rodents
Veterinary Sciences, 2021 Trichuriasis is the clinical disease of animals infected with the parasite of the genus Trichuris. This review attempts to present information on Trichuris spp. infestation in neo-tropical rodents that are utilized for meat consumption by humans.
Kegan Romelle Jones
doaj +1 more source