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NIPS
2004
15 years 8 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
NIPS
2000
15 years 8 months ago
Mixtures of Gaussian Processes
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the...
Volker Tresp
WCE
2007
15 years 8 months ago
An Approach on Micro-Cutting (Deburring) Process
— This paper presents an mathematical model that establishes the relation between the relevant cutting process parameters and surface quality, cutting forces and rate removal, in...
Catalin G. Dumitras
QEST
2008
IEEE
16 years 1 months ago
Recent Extensions to the Stochastic Process Algebra Tool CASPA
Martin Riedl, Johann Schuster, Markus Siegle
IWSEC
2007
Springer
16 years 1 months ago
Processing Multi-parameter Attacktrees with Estimated Parameter Values
Abstract. Authors extend the multi-parameter attacktree model to include inaccurate or estimated parameter values, which are modelled as probabilistic interval estimations. The pap...
Aivo Jürgenson, Jan Willemson