开课单位--不列颠哥伦比亚大学计算机科学系
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Modern Convex Optimization Methods for Large-scale Empirical Risk Minimization[大规模经验风险最小化的现代凸优化方法]
Mark Schmidt(不列颠哥伦比亚大学计算机科学系) This tutorial reviews recent advances in convex optimization for training (linear) predictors via (regularized) empirical risk minimization. We exclus...
热度:23
Mark Schmidt(不列颠哥伦比亚大学计算机科学系) This tutorial reviews recent advances in convex optimization for training (linear) predictors via (regularized) empirical risk minimization. We exclus...
热度:23
![](functions/showpic.php?filename=2023051505130094.png)
Borrowing New Ideas from Human Vision[借用人类视觉的新思想]
David Lowe(不列颠哥伦比亚大学计算机科学系) Borrowing New Ideas from Human Vision
热度:17
David Lowe(不列颠哥伦比亚大学计算机科学系) Borrowing New Ideas from Human Vision
热度:17
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