목록optimization (2)
기록
K-SVD overview
K-SVD 관련 overview Lecture_KSVD.pdf (purdue.edu)
machine learning
2021. 10. 30. 16:10
Ordinary Least Squares Linear Regression: Flaws, Problems and Pitfalls
Problems and Pitfalls of Applying Least Squares Regression 1) outliers 2) non-linearities 3) too many variables 4) dependence among variables 5) wrong choice of error function 6) unequal training point variances (Heteroskedasticity) 7) wrong choise of features 8) noise in the independent variables Ordinary Least Squares Linear Regression: Flaws, Problems and Pitfalls | An analysis of the defects..
machine learning
2021. 10. 10. 14:22