Alexander Zien

According to our database1, Alexander Zien authored at least 30 papers between 1999 and 2011.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2011
lp-Norm Multiple Kernel Learning.
Journal of Machine Learning Research, 2011

A new scatter-based multi-class support vector machine.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Support Vector Machines as Probabilistic Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
The SHOGUN Machine Learning Toolbox.
Journal of Machine Learning Research, 2010

Non-Sparse Regularization and Efficient Training with Multiple Kernels
CoRR, 2010

2009
mGene.web: a web service for accurate computational gene finding.
Nucleic Acids Research, 2009

The Feature Importance Ranking Measure.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
An Automated Combination of Kernels for Predicting Protein Subcellular Localization.
Proceedings of the Algorithms in Bioinformatics, 8th International Workshop, 2008

POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

2007
Multiclass multiple kernel learning.
Proceedings of the Machine Learning, 2007

Transductive support vector machines for structured variables.
Proceedings of the Machine Learning, 2007

2006
ARTS: accurate recognition of transcription starts in human.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

A continuation method for semi-supervised SVMs.
Proceedings of the Machine Learning, 2006

2005
Large margin non-linear embedding.
Proceedings of the Machine Learning, 2005

Semi-Supervised Classification by Low Density Separation.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Learning to Find Graph Pre-images.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Microarrays: How Many Do You Need?
Journal of Computational Biology, 2003

Prediction on Spike Data Using Kernel Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Confidence measures for protein fold recognition.
Bioinformatics, 2002

Microarrays: how many do you need?
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Co-clustering of biological networks and gene expression data.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

2001
Centralization: a new method for the normalization of gene expression data.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

Confidence Measures for Fold Recognition.
Proceedings of the Computer science and biology: Proceedings of the German Conference on Bioinformatics, 2001

2000
A Simple Iterative Approach to Parameter Optimization.
Journal of Computational Biology, 2000

Engineering support vector machine kernels that recognize translation initiation sites.
Bioinformatics, 2000

A simple iterative approach to parameter optimization.
Proceedings of the Fourth Annual International Conference on Computational Molecular Biology, 2000

Analysis of Gene Expression Data with Pathway Scores.
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

1999
Application of Parameter Optimization to Molecular Comparison Problems.
Proceedings of the 4th Pacific Symposium on Biocomputing, 1999

Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites.
German Conference on Bioinformatics, 1999


  Loading...