- 专利标题: SYSTEMS AND METHODS FOR PERFORMING BAYESIAN OPTIMIZATION
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申请号: EP22166308.1申请日: 2014-05-30
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公开(公告)号: EP4047530A1公开(公告)日: 2022-08-24
- 发明人: ADAMS, Ryan, P. , SNOEK, Roland, Jasper , LAROCHELLE, Hugo , SWERSKY, Kevin , ZEMEL, Richard
- 申请人: President and Fellows of Harvard College , The Governing Council of the University of Toronto , SOCPRA Sciences et Génie s.e.c.
- 申请人地址: US Cambridge, MA 02138 17 Quincy Street; CA Toronto, Ontario M5G 1L7 Mars Center, Heritage Building 101 College Street, Suite 320; CA Sherbrooke, Quebec J1L 1E2 35 Rue Radisson Bureau 100
- 代理机构: Driver, Virginia Rozanne
- 优先权: US201361910837 P 20131202
- 主分类号: G06N7/00
- IPC分类号: G06N7/00 ; G06N20/10
摘要:
Techniques for use in connection with performing optimization using a plurality of objective functions associated with a respective plurality of tasks. The techniques include using at least one computer hardware processor to perform: identifying, based at least in part on a joint probabilistic model of the plurality of objective functions, a first point at which to evaluate an objective function in the plurality of objective functions; selecting, based at least in part on the joint probabilistic model, a first objective function in the plurality of objective functions to evaluate at the identified first point; evaluating the first objective function at the identified first point; and updating the joint probabilistic model based on results of the evaluation to obtain an updated joint probabilistic model.
信息查询
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |