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The Divide-and-Conquer Manifesto
2001Existing machine learning theory and algorithms have focused on learning an unknown function from training examples, where the unknown function maps from a feature vector to one of a small number of classes. Emerging applications in science and industry require learning much more complex functions that map from complex input spaces (e.g., 2-dimensional
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Abstract The methods of Peter Ramus sweep across Europe, winning adherents and facing stiff opposition in equal measure.
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Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers
Yuan-Yuan Cheng +3 more
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Yuan-Yuan Cheng +3 more
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