发明名称 |
INFORMATION PROCESSOR, INFORMATION PROCESSING METHOD, AND PROGRAM |
摘要 |
The present technique relates to an information processor, an information processing method, and a program by which an objective variable value is efficiently and highly precisely estimated.;A log acquisition unit acquires objective time-series data corresponding to the objective variable to be estimated, and a plurality of pieces of explanatory time-series data being time-series data corresponding to a plurality of explanatory variables explaining the objective variable. A model parameter update unit learns a parameter of a probability model using the acquired objective time-series data and plurality of pieces of explanatory time-series data. A log selection unit selects, based on the parameter of the probability model having been obtained by the learning, the explanatory variable corresponding to the explanatory time-series data acquired by the log acquisition unit. An estimation unit estimates the objective variable value, using the plurality of pieces of explanatory time-series data having been acquired by the log acquisition unit based on a selection result of the selection unit. The present technique may be applied to for example an information processor for estimating device power consumption. |
申请公布号 |
US2015112891(A1) |
申请公布日期 |
2015.04.23 |
申请号 |
US201314398586 |
申请日期 |
2013.06.05 |
申请人 |
SONY CORPORATION |
发明人 |
Watanabe Yusuke;Ito Masato;Tamori Masahiro |
分类号 |
G06N7/00;G06N5/04 |
主分类号 |
G06N7/00 |
代理机构 |
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代理人 |
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主权项 |
1. An information processor comprising:
an acquisition unit configured to acquire objective time-series data being time-series data corresponding to an objective variable to be estimated and a plurality of pieces of explanatory time-series data being time-series data corresponding to a plurality of explanatory variables for explaining the objective variable; a learning unit configured to learn a parameter of a probability model, using the acquired objective time-series data and the plurality of pieces of explanatory time-series data; a selection unit configured to select, based on the parameter of the probability model having been obtained by the learning, the explanatory variables corresponding to the explanatory time-series data to be acquired by the acquisition unit; and an estimation unit configured to estimate the objective variable value using the plurality of pieces of explanatory time-series data having been acquired by the acquisition unit based on a selection result of the selection unit. |
地址 |
Tokyo JP |