Classify patients with Moyamoya disease according to their cognitive performance might be helpful in clinical and practical with support vector machine based on hypergraph
Sign Up to like & getrecommendations! Published in 2023 at "Human Brain Mapping"
DOI: 10.1002/hbm.26218
Abstract: Moyamoya disease (MMD) patients were now classified according to their cerebrovascular manifestations, with cognition and emotion ignored, which attenuated the therapy. The present study tried to classify them based on their cognitive and emotional performance… read more here.
Keywords: vector machine; support vector; moyamoya disease; mmd ... See more keywords
Multi‐innovation Newton recursive methods for solving the support vector machine regression problems
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DOI: 10.1002/rnc.5672
Abstract: The support vector machine has been widely used in binary classification applications because of the simplicity of its implementation. This article proposes an online identification method based on the support vector machine in the field… read more here.
Keywords: vector; vector machine; support vector; newton recursive ... See more keywords
A new branch-and-bound approach to semi-supervised support vector machine
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DOI: 10.1007/s00500-016-2089-y
Abstract: This paper develops a branch-and-bound algorithm to solve the 2-norm soft margin semi-supervised support vector machine. First, the original problem is reformulated as a non-convex quadratically constrained quadratic programming problem with a simple structure. Then,… read more here.
Keywords: support vector; semi supervised; supervised support; vector machine ... See more keywords
A spheres-based support vector machine for pattern classification
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DOI: 10.1007/s00521-017-3004-x
Abstract: This paper proposes a new spheres-based support vector machine (SSVM) for binary data classification. The proposed SSVM is formulated by clustering the training points according to the similarity between classes, i.e., it constructs two spheres… read more here.
Keywords: spheres based; based support; vector machine; support vector ... See more keywords
River discharge simulation using variable parameter McCarthy–Muskingum and wavelet-support vector machine methods
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DOI: 10.1007/s00521-018-3745-1
Abstract: In this study, an extended version of variable parameter McCarthy–Muskingum (VPMM) method originally proposed by Perumal and Price (J Hydrol 502:89–102, 2013 ) was compared with the widely used data-based model, namely support vector machine… read more here.
Keywords: parameter; flood; vector machine; support vector ... See more keywords
Stock intelligent investment strategy based on support vector machine parameter optimization algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04566-2
Abstract: The changes in China’s stock market are inseparable from the country’s economic development and macroeconomic regulation and control and have far-reaching significance in promoting China’s national economic growth. Compared with the Western developed capital market,… read more here.
Keywords: parameter optimization; model; optimization; optimization algorithm ... See more keywords
Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05866-2
Abstract: This paper proposes a fuzzy-based Lagrangian twin parametric-margin support vector machine (FLTPMSVM) to reduce the effect of the outliers presented in biomedical data. The proposed FLTPMSVM assigns the weights to each data sample on the… read more here.
Keywords: vector machine; support vector; twin parametric;
Adaptive image denoising based on support vector machine and wavelet description
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DOI: 10.1007/s10043-017-0360-9
Abstract: Adaptive image denoising method decomposes the original image into a series of basic pattern feature images on the basis of wavelet description and constructs the support vector machine regression function to realize the wavelet description… read more here.
Keywords: wavelet description; image; support vector; vector machine ... See more keywords
Instance-based entropy fuzzy support vector machine for imbalanced data
Sign Up to like & getrecommendations! Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00851-x
Abstract: Imbalanced classification has been a major challenge for machine learning because many standard classifiers mainly focus on balanced datasets and tend to have biased results toward the majority class. We modify entropy fuzzy support vector… read more here.
Keywords: machine; fuzzy support; support vector; entropy ... See more keywords
Granular support vector machine: a review
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DOI: 10.1007/s10462-017-9555-5
Abstract: The time complexity of traditional support vector machine (SVM) is $$O(l^{3})$$O(l3) and l is the the training sample size, and it can not solve the large scale problems. Granular support vector machine (GSVM) is a… read more here.
Keywords: machine; granular support; vector machine; support vector ... See more keywords
Comparison of support vector machine, back propagation neural network and extreme learning machine for syndrome element differentiation
Sign Up to like & getrecommendations! Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09738-z
Abstract: Artificial intelligence is a discipline which focuses on the study of simulating and extending human intelligence, while machine learning (ML) is one of the most rapidly developing subfields of AI research. The research of ML… read more here.
Keywords: machine; element differentiation; support vector; syndrome element ... See more keywords