목록분류 전체보기 (235)
Proof : Gauss Markov theorem
https://pages.stat.wisc.edu/~st849-1/lectures/Ch04.pdf https://math.stackexchange.com/questions/1542602/proof-of-gauss-markov-theorem Proof of Gauss-Markov theorem Theorem: Let $Y=X\beta+\varepsilon$ where $$Y\in\mathcal M_{n\times 1}(\mathbb R),$$ $$X\in \mathcal M_{n\times p}(\mathbb R),$$ $$\beta\in\mathcal M_{n\times 1}(\mathbb R ),$$ and $$\varepsilon\in\ math.stackexchange.com https://math..
Chapter 5 - 1 : Nonlinear regression - Basis function
Ridge & LASSO property reference
1. ridge regression https://arxiv.org/pdf/1509.09169.pdf https://aldosolari.github.io/SL/docs/SLIDES/Ridge.pdf 2. Ridge & LASSO https://piazza.com/class_profile/get_resource/iwgts4iuaq41h1/iyjsyz3hdhtdf https://www.hse.ru/data/2018/03/15/1164355911/4.%20Ridge%20Regression%20and%20Lasso%20v1.pdf
Kernel PCA
kernel pca lecture note https://www.cs.mcgill.ca/~dprecup/courses/ML/Lectures/ml-lecture13.pdf Machine Learning Lecture notes https://www.cs.mcgill.ca/~dprecup/courses/ML/lectures.html Machine Learning (COMP-652 and ECSE-608) Mar.16 Method of moments, latent variable models, and tensors Lecture 19 slides JMLR paper www.cs.mcgill.ca
