Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination

Mao, Liang; Sun, Shiliang

Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 1839-1844.

Abstract

Multi-view learning receives increasing interest in recent years to analyze complex data. Lately, multi-view maximum entropy discrimination (MVMED) and alternative MVMED (AMVMED) were proposed as extensions of maximum entropy discrimination (MED) to the multi-view learning setting, which use the hard margin consistency principle that enforces two view margins to be the same. In this paper, we propose soft margin consistency based multi-view MED (SMVMED) achieving margin consistency in a less strict way, which minimizes the relative entropy between the posteriors of two view margins. With a trade-off parameter balancing large margin and margin consistency, SMVMED is more flexible. We also propose a sequential minimal optimization (SMO) algorithm to efficiently train SMVMED and make it scalable to large datasets. We evaluate the performance of SMVMED on multiple real-world datasets and get encouraging results.

Liang Mao, and Shiliang Sun. 2016. Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 1839–1844. https://ijcai.org/proceedings/2016/263

@inproceedings{ijcai2016p263,
  title     = {Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination},
  author    = {Mao, Liang and Sun, Shiliang},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-16}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Subbarao Kambhampati},
  pages     = {1839--1844},
  year      = {2016},
  month     = {7},
  url       = {https://ijcai.org/proceedings/2016/263},
}

TY  - CPAPER
TI  - Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination
AU  - Mao, Liang
AU  - Sun, Shiliang
T2  - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2016
SP  - 1839
EP  - 1844
UR  - https://ijcai.org/proceedings/2016/263
ER  -