Volker Tresp

Volker Tresp

23 Papers

Reducing the Rank in Relational Factorization Models by Including Observable Patterns (2014)

Stochastic Relational Models for Discriminative Link Prediction (2006)

Soft Clustering on Graphs (2005)

Learning Gaussian Process Kernels via Hierarchical Bayes (2004)

GPPS: A Gaussian Process Positioning System for Cellular Networks (2003)

The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging (2002)

Transductive and Inductive Methods for Approximate Gaussian Process Regression (2002)

Mixtures of Gaussian Processes (2000)

Robust Neural Network Regression for Offline and Online Learning (1999)

Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model (1998)

Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models (1998)

A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction (1997)

Nonlinear Markov Networks for Continuous Variables (1997)

Early Brain Damage (1996)

Discovering Structure in Continuous Variables Using Bayesian Networks (1995)

Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging (1995)

Combining Estimators Using Non-Constant Weighting Functions (1994)

Efficient Methods for Dealing with Missing Data in Supervised Learning (1994)

Training Neural Networks with Deficient Data (1993)

Network Structuring and Training Using Rule-based Knowledge (1992)

Some Solutions to the Missing Feature Problem in Vision (1992)

Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency (1991)

A Neural Network Approach for Three-Dimensional Object Recognition (1990)

1 Book

Advances in Neural Information Processing Systems 13 (2000)