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Title: Legislative prediction with dual uncertainty minimization from heterogeneous information: Legislative Prediction with Dual Uncertainty Minimization

Authors:
 [1] ;  [2] ;  [3] ;  [2]
  1. IBM T.J. Watson Center of Computational Healthcare Research Center, Yorktown Heights NY 10598 USA
  2. EECS Department, Northwestern University, Evanston IL 60208 USA
  3. Computer Science and Engineering, Arizona State University, Tempe AZ 85281 USA
Publication Date:
Grant/Contract Number:
SC0007456; SC0014330
Type:
Publisher's Accepted Manuscript
Journal Name:
Statistical Analysis and Data Mining
Additional Journal Information:
Journal Name: Statistical Analysis and Data Mining Journal Volume: 10 Journal Issue: 2; Journal ID: ISSN 1932-1864
Publisher:
Wiley Blackwell (John Wiley & Sons)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1400965

Cheng, Yu, Agrawal, Ankit, Liu, Huan, and Choudhary, Alok. Legislative prediction with dual uncertainty minimization from heterogeneous information: Legislative Prediction with Dual Uncertainty Minimization. United States: N. p., Web. doi:10.1002/sam.11309.
Cheng, Yu, Agrawal, Ankit, Liu, Huan, & Choudhary, Alok. Legislative prediction with dual uncertainty minimization from heterogeneous information: Legislative Prediction with Dual Uncertainty Minimization. United States. doi:10.1002/sam.11309.
Cheng, Yu, Agrawal, Ankit, Liu, Huan, and Choudhary, Alok. 2016. "Legislative prediction with dual uncertainty minimization from heterogeneous information: Legislative Prediction with Dual Uncertainty Minimization". United States. doi:10.1002/sam.11309.
@article{osti_1400965,
title = {Legislative prediction with dual uncertainty minimization from heterogeneous information: Legislative Prediction with Dual Uncertainty Minimization},
author = {Cheng, Yu and Agrawal, Ankit and Liu, Huan and Choudhary, Alok},
abstractNote = {},
doi = {10.1002/sam.11309},
journal = {Statistical Analysis and Data Mining},
number = 2,
volume = 10,
place = {United States},
year = {2016},
month = {4}
}