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Finite rank deep kernel learning for robust time series forecasting and regression
Finite rank deep kernel learning for robust time series forecasting and regression
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机译:有限秩深度核学习,可进行可靠的时间序列预测和回归
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摘要
Certain aspects of the present disclosure provide techniques for performing finite rank deep kernel learning. In one example, a method for performing finite rank deep kernel learning includes receiving a training dataset; forming a set of embeddings by subjecting the training data set to a deep neural network, forming, from the set of embeddings, a plurality of dot kernels; combining the plurality of dot kernels to form a composite kernel for a Gaussian process; receiving live data from an application; and predicting a plurality of values and a plurality of uncertainties associated with the plurality of values simultaneously using the composite kernel.
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