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Evolving Non-linear Stacking Ensembles for Prediction of Go Player Attributes
The paper presents an application of non-linear stacking ensembles for prediction of Go player attributes.
Evaluating Go Game Records for Prediction of Player Attributes
We propose a way of extracting and aggregating per-move evaluations from sets of Go game records.
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