Semi-Definite Programming Task: Difference between revisions
Jump to navigation
Jump to search
m (Text replacement - "---- == Refe" to "---- == Refe") |
m (Text replacement - "---- __NOTOC__" to "---- __NOTOC__") |
||
Line 10: | Line 10: | ||
---- | ---- | ||
__NOTOC__ | __NOTOC__ | ||
[[Category:Stub]] | [[Category:Stub]] |
Revision as of 18:21, 8 March 2021
See: Definite Programming, Linear Programming, Eigenvalue Decomposition.
References
2006
- (Nguyen et al., 2014) ⇒ Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, and James Bailey. (2014). “Effective Global Approaches for Mutual Information based Feature Selection.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623611
- QUOTE: In this paper, we take a systematic approach to the problem of global MI-based feature selection. We show how the resulting NP-hard global optimization problem could be efficiently approximately solved via spectral relaxation and semi-definite programming techniques.