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Following Wisdom in Machine Learning

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If you have a question about this talk, please contact Ekaterina Kochmar.

Going through life, we might be guided by a wisdom to keep our friends close, and our enemies far away. In this talk, I would hope to show how the same principle can be used to build several machine learning techniques. We define friends as data points that have the same output or label, and enemies if they have different labels. First, I will focus on using this friend-enemy wisdom for building data representation targeting directly nearest neighbor classification. Second, I will also show how to transfer knowledge in learning from multiple datasets with wisdom.

This talk is part of the NLIP Seminar Series series.

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