Invention Grant
US09349150B2 System and method for multi-task learning for prediction of demand on a system
有权
用于多任务学习的系统和方法，用于预测系统的需求
- Patent Title: System and method for multi-task learning for prediction of demand on a system
- Patent Title (中): 用于多任务学习的系统和方法，用于预测系统的需求
-
Application No.: US14140640Application Date: 2013-12-26
-
Publication No.: US09349150B2Publication Date: 2016-05-24
- Inventor: Boris Chidlovskii
- Applicant: Xerox Corporation
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G08G1/01 ; G06Q50/28 ; G06Q10/04 ; G06Q50/26
Abstract:
A multi-task learning system and method for predicting travel demand on an associated transportation network are provided. Observations corresponding to the associated transportation network are collected and a set of time series corresponding to travel demand are generated. Clusters of time series are then formed and for each cluster, multi-task learning is applied to generate a prediction model. Travel demand on a selected segment of the associated transportation network corresponding to at least one of the set of time series is then predicted in accordance with the generated prediction model.
Public/Granted literature
- US20150186792A1 SYSTEM AND METHOD FOR MULTI-TASK LEARNING FOR PREDICTION OF DEMAND ON A SYSTEM Public/Granted day:2015-07-02
Information query
