Anton Schwaighofer

According to our database1, Anton Schwaighofer authored at least 21 papers between 2001 and 2013.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2013
Query clustering based on bid landscape for sponsored search auction optimization.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
CoRR, 2012

Budget Optimization for Sponsored Search: Censored Learning in MDPs
CoRR, 2012

Budget Optimization for Sponsored Search: Censored Learning in MDPs.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2009
Scalable clustering and keyword suggestion for online advertisements.
Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009

2008
A Probabilistic Approach to Classifying Metabolic Stability.
Journal of Chemical Information and Modeling, 2008

2007
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach.
Journal of Chemical Information and Modeling, 2007

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
Journal of Computer-Aided Molecular Design, 2007

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
Journal of Computer-Aided Molecular Design, 2007

Structure Learning with Nonparametric Decomposable Models.
Proceedings of the Artificial Neural Networks, 2007

2005
Learning Gaussian processes from multiple tasks.
Proceedings of the Machine Learning, 2005

2004
Probabilistic Memory-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2004

Learning Gaussian Process Kernels via Hierarchical Bayes.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Classification of rheumatoid joint inflammation based on laser imaging.
IEEE Trans. Biomed. Engineering, 2003

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes.
Proceedings of the UAI '03, 2003

GPPS: A Gaussian Process Positioning System for Cellular Networks.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Transductive and Inductive Methods for Approximate Gaussian Process Regression.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Removing redundancy and inconsistency in memory-based collaborative filtering.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Scalable Kernel Systems.
Proceedings of the Artificial Neural Networks, 2001

The Bayesian Committee Support Vector Machine.
Proceedings of the Artificial Neural Networks, 2001


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