most citedGaussian Process for Noisy Inputs with Ordering Constraints

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stat.ML2015

Intrinsic Non-stationary Covariance Function for Climate Modeling

Chintan A. Dalal, Vladimir Pavlovic, Robert E. Kopp

Designing a covariance function that represents the underlying correlation is a crucial step in modeling complex natural systems, such as climate models. Geospatial datasets at a g…

stat.ML2015★ 2 cited

Gaussian Process for Noisy Inputs with Ordering Constraints

Cuong Tran, Vladimir Pavlovic, Robert Kopp

We study the Gaussian Process regression model in the context of training data with noise in both input and output. The presence of two sources of noise makes the task of learning…