Paper presentation (suupport vector regression related paper), (Lagrange)

Ref:

1.  https://link.springer.com/content/pdf/10.1007/11758549_63.pdf (presentation paper)
2. https://pdfs.semanticscholar.org/c5a9/67eaded74a9fc414de4ad5120b0b66acd2c3.pdf
3. https://shuzhanfan.github.io/2018/05/understanding-mathematics-behind-support-vector-machines/ (VVI and related to ref 1,2)
4. https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/constrained-optimization/a/lagrange-multipliers-single-constraint (before understanding the paper please study the lagrange multiplier theorem)
5. https://cs.adelaide.edu.au/~javen/talk/L4%20regression.pdf (valoi **********)
6. http://www.robots.ox.ac.uk/~az/lectures/ml/lect2.pdf (read please)
7. https://www.saedsayad.com/support_vector_machine_reg.htm (***)

Lagrange :

1.  https://en.wikipedia.org/wiki/Lagrange_multiplier (****** describe awesome)
2. https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/constrained-optimization/a/lagrange-multipliers-single-constraint (ref 1 and ref2 are enough to understand the lagrange)
3. https://mccormickml.com/2013/04/16/trivial-svm-example/ (svm scoring function ) (**************)
4. http://cs229.stanford.edu/materials/smo.pdf (code plus description)