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https://kraj3.com.np/blog/2019/06/support-vector-machines-svm-basic-concepts-and-algorithm/
Jun 10, 2019 · Support Vector Machines (SVM) Basic concepts and Algorithm. Support Vector is one of the strongest but mathematically complex supervised learning algorithm used for both regression and Classification. It is strictly based on the concept of decision planes (most commonly called hyper planes) that define decision boundaries for the classification.
https://towardsdatascience.com/support-vector-machine-simply-explained-fee28eba5496
Jan 07, 2019 · It is just intimidating, you know, the name, Support, Vector, Machine. But, it becomes less scary once I started to think of support vector machine as a “road machine”, which separates the left,right-side cars, buildings, pedestrians and makes the widest lane as possible. And those cars, buildings, really close to the street is the support vectors.Author: Lujing Chen
https://svmtutorial.online/download.php?file=SVM_tutorial.pdf
In this section we review several basic concepts that are used to de ne support vector machines (SVMs) and which are essential for their understanding. We assume that the reader is familiar with real coordinate space, inner product of vectors, and vector norm (a brief review of these concepts is given in Appendix). 1.1. Classi cation problem
https://www.cs.rochester.edu/~stefanko/Teaching/09CS446/SVM-ICML01-tutorial.pdf
www.support-vector.net Duality: First Property of SVMs z DUALITY is the first feature of Support Vector Machines z SVMs are Linear Learning Machines represented in a dual fashion z Data appear only within dot products (in decision function and in training algorithm) f(x)=w,x +b=∑αiyi xi,x +b
http://web.mit.edu/6.034/wwwbob/svm-notes-long-08.pdf
•Support vector machines Support Vectors again for linearly separable case •Support vectors are the elements of the training set that would change the position of the dividing hyperplane if removed. •Support vectors are the critical elements of the training set …
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