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11
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Robust Full Bayesian Learning for Neural Networks
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6
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Nonparametric Regression for Learning Nonlinear Transformations
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394
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Dynamic Bayesian Networks: Representation, Inference and Learning
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47
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Constructive Algorithms for Structure Learning in Feedforward Neural Networks for Regression Problems
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- 1997
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15
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Robust Full Bayesian Learning for Radial Basis Networks
– Christophe Andrieu, Nando de Freitas, Arnaud Doucet
- 2001
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3
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Nonparametric regression for learning
– Stefan Schaal
- 1994
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126
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Constructive Incremental Learning from Only Local Information
– Stefan Schaal, Christopher G. Atkeson
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10
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Sequential Monte Carlo Methods For Optimisation Of Neural Network Models
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- 1998
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Hidden Dynamic Models for Speech Processing Applications
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21
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Constructive Feedforward Neural Networks for Regression Problems: A Survey
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7
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On Bayesian model assessment and choice using cross-validation predictive densities
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21
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Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
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113
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Using simulation methods for Bayesian econometric models: Inference, development and communication
– John Geweke
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State Estimation of Probabilistic Hybrid Systems with Particle Filters
– Stanislav Funiak
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141
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An Introduction to MCMC for Machine Learning
– Christophe Andrieu
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2
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Dynamic Neural Regression Models
– Thomas Briegel, Volker Tresp
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29
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A review of dimension reduction techniques
– Miguel Á. Carreira-perpiñán
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22
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Digital Audio Restoration
– Simon Godsill, Peter Rayner, Olivier Cappé
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Bayesian Inference for Reliable Biomedical Signal Processing
– Dipl Ing, Peter Sykacek
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