4 Result(s)
within
M. Girolami
Computer Science
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Article
Editorial: special edition on probabilistic numerics
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Article
A comparative evaluation of stochastic-based inference methods for Gaussian process models
Gaussian Process (GP) models are extensively used in data analysis given their flexible modeling capabilities and interpretability. The fully Bayesian treatment of GP models is analytically intractable, and th...
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Chapter and Conference Paper
Principal Components Identify MLP Hidden Layer Size for Optimal Generalisation Performance
One of the major concerns when implementing a supervised artificial neural network solution to a classification or prediction problem, is the network’s performance on unseen data. The phenomenon of the network...
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Chapter and Conference Paper
Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis
It has been shown experimentally that Oja’s nonlinear principal component analysis (PCA) algorithm is capable of performing an independent component analysis (ICA) on a specific data set [7]. However, the dyna...
