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Local and global sparse Gaussian process approximations

AISTATS, (2007): 524-531

Cited: 261|Views29
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Gaussian process (GP) models are flexible probabilistic nonparametric models for re- gression, classification and other tasks. Un- fortunately they suer from computational intractability for large data sets. Over the past decade there have been many dier- ent approximations developed to reduce this cost. Most of these can be termed global...More

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