![Machine learning / Mathematical optimization / Functional analysis / Econometrics / Convex analysis / Convex optimization / Supervised learning / Semi-supervised learning / Loss function / Algebra / Mathematics / Linear algebra Machine learning / Mathematical optimization / Functional analysis / Econometrics / Convex analysis / Convex optimization / Supervised learning / Semi-supervised learning / Loss function / Algebra / Mathematics / Linear algebra](https://www.pdfsearch.io/img/cdbb588043b44857b0ecc977d03caf57.jpg)
| Document Date: 2012-09-28 23:24:14 Open Document File Size: 357,51 KBShare Result on Facebook
Company Computing Science University of Alberta Edmonton AB / / Country United States / Canada / / Facility Information Sciences Temple University / / IndustryTerm plausible global training algorithm / overall binary search procedure / subgradient coordinate descent algorithm / subgradient-based binary line search procedure / line search / simpler binary line search procedure / binary line search step / block-descent optimization algorithm / subgradient search / binary line search / optimization algorithm / binary line search procedure / search interval / / Organization Department of Computer and Information Sciences Temple University Philadelphia / Computing Science University of Alberta Edmonton / / Person Dale Schuurmans / Approach Yuhong Guo / / Position Rt / / ProvinceOrState Pennsylvania / / Technology machine learning / block-descent optimization algorithm / 4 Optimization Algorithm / subgradient coordinate descent algorithm / optimization algorithm / /
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