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Learning Patterns in the Game of Go

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If you have a question about this talk, please contact David MacKay .

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Contemporary Go programs allow for little or no direct game commentary from expert Go players. It is desirable that Go programs are more receptive for such input using modern learning methods. The presentation given will introduce methods how expert Go players can be more involved in the knowledge acquisition process of Go programs. The presentation is based on the Master Thesis: ‘Learning Patterns in the Game of Go’ downloadable at: http://www.science.uva.nl/research/ias/alumni/m.sc.theses/theses/EmilNijhuis.pdf

This talk is part of the Inference Group series.

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This meeting is online: https://harvard.zoom.us/j/271079684 Goldsmiths 1, Lecture Theatre, Department of Materials Science & Metallurgy Kennedy Room,. Cambridge Union (Bridge Street)

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