Bayesian methods for adaptive models

Field mice: extracting hand geometry from electric field measurements

IBM Systems Journal

Comparison of approximate methods for handling hyperparameters

Neural Computation

A Full Bayesian Approach to Curve and Surface Reconstruction

Journal of Mathematical Imaging and Vision

Supervised Training Using an Unsupervised Approach to Active Learning

Neural Processing Letters

Neural Network Modelling with Input Uncertainty: Theory and Application

Journal of VLSI Signal Processing Systems

Statistical Foreground Modelling for Object Localisation

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II

High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Neural Learning from Unbalanced Data Using Noise Modeling

Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems

Averaging Weak Classifiers

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

On different facets of regularization theory

Neural Computation

References

Neural networks and the financial markets

Bayesian kernel methods

Advanced lectures on machine learning

Bayes point machines

The Journal of Machine Learning Research

Support Vector Data Description

Machine Learning

Neural Learning from Unbalanced Data

Applied Intelligence

A tutorial on support vector regression

Statistics and Computing

Variational Bayesian image modelling

ICML '05 Proceedings of the 22nd international conference on Machine learning

Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks

Neural Computation

Manifold Stochastic Dynamics for Bayesian Learning

Neural Computation

Sensitivity Analysis for Selective Learning by Feedforward Neural Networks

Fundamenta Informaticae

Sensitivity Analysis for Selective Learning by Feedforward Neural Networks

Fundamenta Informaticae

Gaussian fields for semi-supervised regression and correspondence learning

Pattern Recognition

A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network

Neurocomputing

Active learning for logistic regression: an evaluation

Machine Learning

Construction of Bayesian support vector regression in the feature space spanned by Bezier-Bernstein polynomial functions

Cybernetics and Systems Analysis

Regularity selection for effective 3D object reconstruction from a single line drawing

Pattern Recognition Letters

On the nature of minds, or: truth and consequences

Journal of Experimental & Theoretical Artificial Intelligence - Pluralism and the Future of Cognitive Science

Using Gaussian Processes to Optimize Expensive Functions

AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Using uncertainty as a model selection and comparison criterion

PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering

Survival analysis in cancer using a partial logistic neural network model with Bayesian regularisation framework: a validation study

International Journal of Knowledge Engineering and Soft Data Paradigms

Scope error detection and handling concerning software estimation models

ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement

Parametric design with neural network relationships and fuzzy relationships considering uncertainties

Computers in Industry

Output partitioning of neural networks

Neurocomputing

Automatic model selection for the optimization of SVM kernels

Pattern Recognition

A Bayesian MCMC on-line signature verification

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication

A comparative study of metamodeling methods considering sample quality merits

Structural and Multidisciplinary Optimization

Utilization relevance vector machine for slope reliability analysis

Applied Soft Computing

Some issues about the generalization of neural networks for time series prediction

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Extensions of the informative vector machine

Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning

Sensitivity Analysis for Selective Learning by Feedforward Neural Networks

Fundamenta Informaticae

Sensitivity Analysis for Selective Learning by Feedforward Neural Networks

Fundamenta Informaticae

Particle swarm optimisation assisted classification using elastic net prefiltering

Neurocomputing