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https://www.amazon.com/Learning-Machines-Synthesis-Artificial-Intelligence/dp/1608456161
Sep 26, 2011 · Learning with Support Vector Machines (Synthesis Lectures on Artificial Intelligence and Machine Learning) [Colin Campbell, Yiming Ying] on Amazon.com. *FREE* shipping on qualifying offers. Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing …Cited by: 255
https://www.morganclaypool.com/doi/abs/10.2200/S00324ED1V01Y201102AIM010
Abstract. Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing.Cited by: 255
http://www.odbms.org/2017/10/learning-with-support-vector-machines/
Support Vector Machines for Classification Kernel-based Models Learning with Kernels. About the Author(s) Colin Campbell, University of Bristol Dr. Colin Campbell holds a BSc degree in physics from Imperial College, London, and a PhD in mathematics from King’s College, London.
https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=33
Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing.
https://core.ac.uk/display/44326735
Learning with Support Vector Machines . By Colin Campbell and Yiming Ying. Abstract. Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation ...
https://scholar.google.com/scholar_lookup?title=Learning+with+Support+Vector+Machines&author=Campbell,+C.&author=Ying,+Y.&publication_year=2011
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https://ieeexplore.ieee.org/book/6267332/
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks ...
https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
Jun 07, 2018 · Support vector machine is another simple algorithm that every machine learning expert should have in his/her arsenal. Support vector machine is highly preferred by many as it produces significant accuracy with less computation power. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks.
https://machinelearningmastery.com/support-vector-machines-for-machine-learning/
Support Vector Machines are perhaps one of the most popular and talked about machine learning algorithms. They were extremely popular around the time they were developed in the 1990s and continue to be the go-to method for a high-performing algorithm with little tuning. In this post you will discover the Support Vector Machine (SVM) machine …
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