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https://ieeexplore.ieee.org/document/708428
Abstract: My first exposure to Support Vector Machines came this spring when heard Sue Dumais present impressive results on text categorization using this analysis technique. This issue's collection of essays should help familiarize our readers with this interesting new racehorse in the Machine …
https://ieeexplore.ieee.org/document/1046177/
Abstract: This paper investigates the application of support vector machines (SVMs) in texture classification. Instead of relying on an external feature extractor, the SVM receives the gray-level values of the raw pixels, as SVMs can generalize well even in high-dimensional spaces.Cited by: 474
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276657
To study how dependent sampling methods influence the learning ability of incremental support vector machines (ISVM) algorithm, in this paper we introduce an ISVM based on Markov resampling (MR-ISVM), and give the experimental research on the learning ability of the MR-ISVM algorithm.Cited by: 11
https://technav.ieee.org/tag/9042/support-vector-machines
Conferences related to Support vector machines Back to Top. 2020 IEEE 16th International Workshop on Advanced Motion Control (AMC) AMC2020 is the 16th in a series of biennial international workshops on Advanced Motion Control which aims to bring together researchers from both academia and industry and to promote omnipresent motion control technologies and applications.
https://ieeexplore.ieee.org/document/4650875/
Abstract: This paper presents a distributed support vector regression (SV R) algorithm for sensor networks. The idea behind this algorithm is to make use of the structure similarity between sensor networks and SV Rs with 2D input data in order to implement SV R in a distributed way.
http://people.ischool.berkeley.edu/~hearst/papers/ieee_is_svm.pdf
18 IEEE INTELLIGENT SYSTEMS Support vector machines TRENDS & CONTROVERSIESTRENDS & CONTROVERSIES By Marti A. Hearst University of California, Berkeley [email protected] My first exposure to Support Vector Machines came this spring when I heard Sue Dumais present impressive results on text categorization using this analysis technique.
https://ieeexplore.ieee.org/document/8307061
Abstract: Cyber security in the context of big data is known to be a critical problem and presents a great challenge to the research community. Machine learning algorithms have been suggested as candidates for handling big data security problems. Among these algorithms, support vector machines (SVMs) have achieved remarkable success on various classification problems.Cited by: 6
https://ieeexplore.ieee.org/document/7748856/
Rice crop yield prediction in India using support vector machines Abstract: Food production in India is largely dependent on cereal crops including rice, wheat and various pulses. The sustainability and productivity of rice growing areas is dependent on suitable climatic conditions.Cited by: 15
https://technav.ieee.org/tag/9041/support-vector-machine-classification
Support vector machine classification Information on IEEE's Technology Navigator. Start your Research Here! Support vector machine classification-related Conferences, Publications, and Organizations.
https://ieeexplore.ieee.org/document/6046926/
Sep 29, 2011 · Abstract: The paper presents a Multi-class Support Vector Machine classifier and its application to hypothyroid detection and classification. Support Vector Machines (SVM) have been well known method in the machine learning community for binary classification problems. Multi-class SVMs (MCSVM) are usually implemented by combining several binary SVMs.
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