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49
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Comparison of Approximate Methods for Handling Hyperparameters
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12
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Bayesian Methods for Neural Networks: Theory and Applications
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1
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Divide and Conquer: Pattern Recognition using Mixtures of Experts
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Cours IFT6266, Combinaisons, ensembles de mod`eles, et approche Bayesienne
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7
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Prior Information and Generalized Questions
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Artificial Neural Network Modeling of Forest Tree Growth
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Classification using Bayesian Neural Nets
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3
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Modelling Conditional Probability Densities with Neural Networks
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35
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Bayesian Neural Networks and Density Networks
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12
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Bayesian Regularisation and Pruning using a Laplace Prior
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8
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Bayesian Linear Regression
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14
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Introduction to Bayesian image analysis
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1
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Searching for `Optimal' Inputs with an Empirical Regression Model
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Bayesian Approach To Support Vector Machines
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Maximum Entropy Connections
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41
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Bayesian and Regularization Methods for Hyperparameter Estimation in Image Restoration
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36
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Moderating the Outputs of Support Vector Machine Classifiers
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21
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Issues in Bayesian Analysis of Neural Network Models
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2
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Evaluating Confidence Measures in a Neural Network Based Sleep Stager
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