Evaluation of gaussian processes and other methods for non-linear regression

Computation with infinite neural networks

Neural Computation

Bayesian Classification With Gaussian Processes

IEEE Transactions on Pattern Analysis and Machine Intelligence

Approximate statistical tests for comparing supervised classification learning algorithms

Neural Computation

Upper and Lower Bounds on the Learning Curve for Gaussian Processes

Machine Learning

Adaptive Metric Kernel Regression

Journal of VLSI Signal Processing Systems

Structural Modelling with Sparse Kernels

Machine Learning

Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel fisher discriminant analysis

Neural Computation

On-Line Learning Methods for Gaussian Processes

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Bayesian kernel methods

Advanced lectures on machine learning

Sparse bayesian learning and the relevance vector machine

The Journal of Machine Learning Research

A tutorial on support vector regression

Statistics and Computing

Hierarchical Gaussian process mixtures for regression

Statistics and Computing

Predictive Approaches for Choosing Hyperparameters in Gaussian Processes

Neural Computation

A Bayesian Committee Machine

Neural Computation

Peptide data mining: from virtual design to knowledge extraction

Proceedings of the 8th annual conference on Genetic and evolutionary computation

Learning noise

Proceedings of the 9th annual conference on Genetic and evolutionary computation

Clustering Based on Gaussian Processes

Neural Computation

Nonlinear system identification: From multiple-model networks to Gaussian processes

Engineering Applications of Artificial Intelligence

Using Gaussian Processes to Optimize Expensive Functions

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

Gaussian process dynamic programming

Neurocomputing

Learning gas distribution models using sparse Gaussian process mixtures

Autonomous Robots

Gaussian process approach for modelling of nonlinear systems

Engineering Applications of Artificial Intelligence

Efficient failure detection on mobile robots using particle filters with Gaussian process proposals

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Gaussian process models of spatial aggregation algorithms

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

Detection and prognostics on low-dimensional systems

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Conditional Density Estimation with HMM Based Support Vector Machines

ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers

Neurocomputing

Dynamical systems identification using Gaussian process models with incorporated local models

Engineering Applications of Artificial Intelligence

Bayesian kernel projections for classification of high dimensional data

Statistics and Computing

Global sensitivity analysis of large-scale numerical landslide models based on Gaussian-Process meta-modeling

Computers & Geosciences

Use of input deformations with brownian motion filters for discontinuous regression

ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I

A novel learning network for option pricing with confidence interval information

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III

Overlapping Mixtures of Gaussian Processes for the data association problem

Pattern Recognition

A sparse Gaussian process regression model for tourism demand forecasting in Hong Kong

Expert Systems with Applications: An International Journal

Sparse gaussian processes using backward elimination

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Pseudo-density estimation for clustering with gaussian processes

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Analysis of some methods for reduced rank gaussian process regression

Switching and Learning in Feedback Systems

Filtered gaussian processes for learning with large data-sets

Switching and Learning in Feedback Systems

Self-tuning control of non-linear systems using gaussian process prior models

Switching and Learning in Feedback Systems

Gaussian processes: prediction at a noisy input and application to iterative multiple-step ahead forecasting of time-series

Switching and Learning in Feedback Systems

Nonlinear predictive control with a gaussian process model

Switching and Learning in Feedback Systems

Transformations of gaussian process priors

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

Nonlinear system identification via direct weight optimization

Automatica (Journal of IFAC)

Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes

Engineering Applications of Artificial Intelligence