Collaborative information acquisition for data-driven decisions.
- Published in:
- Machine Learning, 2014, v. 95, n. 1, p. 71, doi. 10.1007/s10994-013-5424-x
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2014 AND VI 95 AND IP 1
Results: 8
1
2
Machine learning for science and society.
- Published in:
- 2014
- By:
- Publication type:
- Editorial
3
Detecting inappropriate access to electronic health records using collaborative filtering.
- Published in:
- Machine Learning, 2014, v. 95, n. 1, p. 87, doi. 10.1007/s10994-013-5376-1
- By:
- Publication type:
- Article
4
Using random forests to diagnose aviation turbulence.
- Published in:
- Machine Learning, 2014, v. 95, n. 1, p. 51, doi. 10.1007/s10994-013-5346-7
- By:
- Publication type:
- Article
5
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.
- Published in:
- Machine Learning, 2014, v. 95, n. 1, p. 27, doi. 10.1007/s10994-013-5343-x
- By:
- Publication type:
- Article
6
Tracking people over time in 19th century Canada for longitudinal analysis.
- Published in:
- Machine Learning, 2014, v. 95, n. 1, p. 129, doi. 10.1007/s10994-013-5421-0
- By:
- Publication type:
- Article
7
Machine learning for targeted display advertising: transfer learning in action.
- Published in:
- Machine Learning, 2014, v. 95, n. 1, p. 103, doi. 10.1007/s10994-013-5375-2
- By:
- Publication type:
- Article
8
Water pipe condition assessment: a hierarchical beta process approach for sparse incident data.
- Published in:
- Machine Learning, 2014, v. 95, n. 1, p. 11, doi. 10.1007/s10994-013-5386-z
- By:
- Publication type:
- Article