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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data

March 8, 2023

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Authors

Mingkui Tan

University of Adelaide


Yan Yan

University of Technology Sydney


Li Wang

University of Illinois at Chicago


Anton Van Den Hengel

University of Adelaide


Ivor W. Tsang

University of Technology Sydney


Qinfeng (Javen) Shi

University of Adelaide


DOI:

10.1609/aaai.v30i1.10281


Abstract:

Confidence-weighted (CW) learning is a successful online learning paradigm which maintains a Gaussian distribution over classifier weights and adopts a covariancematrix to represent the uncertainties of the weight vectors. However, there are two deficiencies in existing full CW learning paradigms, these being the sensitivity to irrelevant features, and the poor scalability to high dimensional data due to the maintenance of the covariance structure. In this paper, we begin by presenting an online-batch CW learning scheme, and then present a novel paradigm to learn sparse CW classifiers. The proposed paradigm essentially identifies feature groups and naturally builds a block diagonal covariance structure, making it very suitable for CW learning over very high-dimensional data.Extensive experimental results demonstrate the superior performance of the proposed methods over state-of-the-art counterparts on classification and feature selection tasks.

Topics: AAAI

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HOW TO CITE:

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) .

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data AAAI 2016, .

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi (2016). Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. Proceedings of the AAAI Conference on Artificial Intelligence, 30, .

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi. Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p..

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi. 2016. Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". .

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi. (2016) "Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi, "Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data", AAAI, p., 2016.

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi. "Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p..

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi. "Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): .

Mingkui Tan|| Yan Yan|| Li Wang|| Anton Van Den Hengel|| Ivor W. Tsang|| Qinfeng (Javen) Shi. Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI[Internet]. 2016[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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