Results 41 to 50 of about 1,209,660 (299)
Using bag-of-concepts to improve the performance of support vector machines in text categorization [PDF]
, 2004 This paper investigates the use of concept-based representations for text categorization. We introduce a new approach to create concept-based text representations, and apply it to a standard text categorization collection. The representations are used as
Cöster, Rickard, Sahlgren, Magnus
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On Neural Quantum Support Vector Machines [PDF]
arXiv, 2023 In \cite{simon2023algorithms} we introduced four algorithms for the training of neural support vector machines (NSVMs) and demonstrated their feasibility. In this note we introduce neural quantum support vector machines, that is, NSVMs with a quantum kernel, and extend our results to this setting.
arxiv
Insensitive Stochastic Gradient Twin Support Vector Machine for Large Scale Problems [PDF]
Information Sciences, Volume 462, September 2018, Pages 114-131, 2017 Stochastic gradient descent algorithm has been successfully applied on support vector machines (called PEGASOS) for many classification problems. In this paper, stochastic gradient descent algorithm is investigated to twin support vector machines for classification.
arxiv +1 more source
Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): an algorithm for joint optimization of discrimination and calibration. [PDF]
, 2012 Historically, probabilistic models for decision support have focused on discrimination, e.g., minimizing the ranking error of predicted outcomes. Unfortunately, these models ignore another important aspect, calibration, which indicates the magnitude of ...
Jiang, Xiaoqian +4 more
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PLoS ONE, 2020 Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysiology of its alterations remains unclear. Multivariate pattern recognition analysis such as support vector machines can classify patients and healthy ...
Maeri Yamamoto +8 more
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$$\nu $$ ν -Improved nonparallel support vector machine
Scientific Reports, 2022 In this paper, a $$\nu $$ ν -improved nonparallel support vector machine ( $$\nu $$ ν -IMNPSVM) is proposed to solve binary classification problems.
Fengmin Sun, Shujun Lian
doaj +1 more source
An Investigation on Support Vector Clustering for Big Data in Quantum Paradigm [PDF]
Quantum Information Processing volume 19, Article number: 108
(2020), 2018 The support vector clustering algorithm is a well-known clustering algorithm based on support vector machines using Gaussian or polynomial kernels. The classical support vector clustering algorithm works well in general, but its performance degrades when applied on big data.
arxiv +1 more source
Hierarchical linear support vector machine [PDF]
, 2012 This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not
Huerta, Ramón +2 more
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A fault diagnosis method of rolling bearing
Gong-kuang zidonghua, 2014 For parameter optimization of support vector machine in fault diagnosis method of rolling bearing based on support vector machine, an improved fruit fly optimization algorithm was proposed which took accuracy rate of pattern classification as taste ...
DONG Jianping, YANG Cheng, LU Xiaoli
doaj +1 more source
Perbandingan Reduced Support Vector Machine Dan Smooth Support Vector Machine Untuk Klasifikasi Large Data [PDF]
, 2015 Klasifikasi merupakan pengelompokan objek ke dalam dua atau lebih kelompok yang didasarkan pada variabel yang diamati. Support Vector Machine merupakan metode berbasis machine learning yang sangat menjanjikan untuk dikembangkan karena memiliki ...
Purnami, S. W. (Santi) +1 more
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