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Data selection for support vector machine classifiers [PDF]
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000 The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classi er, is formulated as a concave minimization problem and solved by a nite number of linear programs.
Glenn Fung, Olvi L. Mangasarian
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Parallelizing support vector machines for scalable image annotation [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
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Extending twin support vector machine classifier for multi-category classification problems [PDF]
, 2013 © 2013 – IOS Press and the authors. All rights reservedTwin support vector machine classifier (TWSVM) was proposed by Jayadeva et al., which was used for binary classification problems.
Liu, X +5 more
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Support Vector Machine Classifier for Accurate Identification of piRNA
Applied Sciences, 2018 Piwi-interacting RNA (piRNA) is a newly identified class of small non-coding RNAs. It can combine with PIWI proteins to regulate the transcriptional gene silencing process, heterochromatin modifications, and to maintain germline and stem cell function in
Taoying Li +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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SA-SVM-Based Locomotion Pattern Recognition for Exoskeleton Robot
Applied Sciences, 2021 An exoskeleton robot is a kind of wearable mechanical instrument designed according to the shape and function of the human body. The main purpose of its design and manufacture is to enhance human strength, assist human walking and to help patients ...
Zeyu Yin +5 more
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Mìkrosistemi, Elektronìka ta Akustika, 2021 The paper is devoted to the application of machine learning methods to the prediction of the development of gestational diabetes mellitus in early pregnancy.
Марко Романович Басараб +2 more
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A support vector machine method for bid/no bid decision making
Journal of Civil Engineering and Management, 2017 The bid/no bid decision is an important and complex process, and is impacted by numerous variables that are related to the contractor, project, client, competitors, tender and market conditions.
Rifat Sonmez, Burak Sözgen
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IMPROVED INTRUSION DETECTION CLASSIFIER USING CUCKOO SEARCH OPTIMIZATION WITH SUPPORT VECTOR MACHINE [PDF]
ICTACT Journal on Soft Computing, 2020 This paper proposes Cuckoo Search Optimization (CSO) with Support Vector Machine (SVM) for the intrusion detection system (IDS). This work covers modules including preprocessing, feature selection and classification.
D Viknesh Kumar, Velmani Ramasamy
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Fault Classification of Reciprocating Compressor Based on Neural Networks and Support Vector Machines [PDF]
Reciprocating compressors play a major part in many industrial systems and faults occurring in them can degrade performance, consume additional energy, cause severe damage to the machine and possibly even system shut-down.
Gu, Fengshou +4 more
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