PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by matthias seeger

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Number of EPrints submitted by this user: 15

Fast Gaussian Process Regression using KD-Trees
Yirong Shen, Andrew Ng and matthias seeger
In: Neural Information Processing Systems 2005, Vancouver, Canada(2005).

Worst-Case Bounds for Gaussian Process Models
Kakade Sham, matthias seeger and Dean Foster
In: Neural Information Processing Systems 2005, Vancouver, Canada(2005).

An Overview of Semi-Supervised Learning
matthias seeger
In: Semi-supervised Learning, ICML 2005, Bonn, Germany(2005).

Multiple Kernel Logistic Regression
matthias seeger
(2005) Technical Report. Max Planck Society, Tuebingen, Germany.

Low Rank Updates for the Cholesky Decomposition
matthias seeger
(2005) Technical Report. Max Planck Society, Tuebingen, Germany.

Gaussian Process Belief Propagation
matthias seeger
In: Predicting Structured Data (2007) MIT Press , Cambridge, MA , pp. 301-318.

A Taxonomy for Semi-Supervised Learning Methods
matthias seeger
In: Semi-Supervised Learning (2006) MIT Press , pp. 15-32.

Efficient Nonparametric Bayesian Modelling with Sparse Gaussian Process Approximations
matthias seeger, Neil Lawrence and Ralf Herbrich
(2006) Technical Report. Max Planck Institute.

Information Consistency of Nonparametric Gaussian Process Methods
matthias seeger, Sham Kakade and Dean P. Foster
IEEE Transactions on Information Theory 2008.

Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods
matthias seeger
In: Neural Information Processing Systems 2006, 4 Dec - 7 Dec 2006, Vancouver, CA.

Bayesian Inference and Optimal Design in the Sparse Linear Model
matthias seeger, Florian Steinke and Koji Tsuda
In: Workshop on AI and Statistics, Puerto Rico(2007).

Bayesian Inference for Sparse Generalized Linear Models
matthias seeger, Sebastian Gerwinn and Matthias Bethge
In: 18th European Conference on Machine Learning(2007).

Experimental Design for Efficient Identification of Gene Regulatory Networks using Sparse Bayesian Models
Florian Steinke, matthias seeger and Koji Tsuda
BMC Systems Biology Volume 1, Number 51, 2007.

Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Jakob Macke, matthias seeger and Matthias Bethge
In: Neural Information Processing Systems 21, 2007(2008).

Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
matthias seeger
Journal of Machine Learning Research 2007.