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Proteochemometric modeling in a Bayesian framework.A tensor-product-kernel framework for multiscale neural activity decoding and controlOn different facets of regularization theory.Gaussian processes for machine learning.Fast machine-learning online optimization of ultra-cold-atom experimentsEfficient Gaussian process regression for large datasets.Online learning with (multiple) kernels: a review.Gaussian Processes in Machine LearningOnline learning of single- and multivalued functions with an infinite mixture of linear experts.Approximate inference for disease mapping with sparse Gaussian processes.Validation-based sparse Gaussian process classifier design.Towards expanding relevance vector machines to large scale datasets.Fast generalized cross-validation algorithm for sparse model learning.Indirect robot model learning for tracking control
P2860
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P2860
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в березні 2002
@uk
name
Sparse On-Line Gaussian Processes
@en
Sparse On-Line Gaussian Processes
@nl
type
label
Sparse On-Line Gaussian Processes
@en
Sparse On-Line Gaussian Processes
@nl
prefLabel
Sparse On-Line Gaussian Processes
@en
Sparse On-Line Gaussian Processes
@nl
P2860
P1433
P1476
Sparse On-Line Gaussian Processes
@en
P2093
Lehel Csató
Manfred Opper
P2860
P304
P356
10.1162/089976602317250933
P577
2002-03-01T00:00:00Z