University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Research on Semi-Supervised Support Vector Machine

Research on Semi-Supervised Support Vector Machine

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If you have a question about this talk, please contact Leandro Minku.

Host: Dr. Shan He

Exploiting unlabelled data to help improve the performance is fundamental to machine learning research. Semi-Supervised learning is one major branch in this direction, and Semi-Supervised SVM (S3VM) is one of the most basic, popular Semi-Supervised learning paradigms. Many researchers have studied S3VM since S3VM was proposed. However, the scalability, the efficiency, the safeness, and the learning cost of S3V Ms have not been well addressed. In this paper, I will present some of our recent progress on these issues.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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