Invention Grant
- Patent Title: Training SVMs with parallelized stochastic gradient descent
- Patent Title (中): 用并行随机梯度下降训练SVM
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Application No.: US12790532Application Date: 2010-05-28
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Publication No.: US08626677B2Publication Date: 2014-01-07
- Inventor: Weizhu Chen , Gang Wang , Zheng Chen
- Applicant: Weizhu Chen , Gang Wang , Zheng Chen
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
Techniques for training a non-linear support vector machine utilizing a stochastic gradient descent algorithm are provided. The computations of the stochastic gradient descent algorithm are parallelized via a number of processors. Calculations of the stochastic gradient descent algorithm on a particular processor may be combined according to a packing strategy before communicating the results of the calculations with the other processors.
Public/Granted literature
- US20110295774A1 Training SVMs with Parallelized Stochastic Gradient Descent Public/Granted day:2011-12-01
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