Alexander Zien

发表

The Feature Importance Ranking Measure

Gunnar Rätsch, Alexander Zien, Nicole Krämer, 2009, ECML/PKDD.

Prediction on Spike Data Using Kernel Algorithms

Carl E. Rasmussen, Bernhard Schölkopf, Jason Weston, 2003, NIPS.

Introduction to Semi-Supervised Learning

Bernhard Schölkopf, Alexander Zien, Olivier Chapelle, 2006, Semi-Supervised Learning.

A Discussion of Semi-Supervised Learning and Transduction

Bernhard Schölkopf, Alexander Zien, Olivier Chapelle, 2006, Semi-Supervised Learning.

Large margin non-linear embedding

Joaquin Quiñonero Candela, Alexander Zien, A. Zien, 2005, ICML.

Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 2000, German Conference on Bioinformatics.

Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Information on adverse drug reactions - Proof of principle for a structured database that allows customization of drug information

Alexander Zien, Walter E. Haefeli, Marcel K.P. Kusch, 2019, Int. J. Medical Informatics.

Large-Scale Algorithms

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

mGene: A Novel Discriminative Gene Finding System

Cheng Soon Ong, Alexander Zien, Sören Sonnenburg, 2007, ISMB 2007.

Towards the Inference of Graphs on Ordered Vertexes

Cheng Soon Ong, Alexander Zien, G Raetsch, 2006 .

Low-Density Separation

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Multiclass multiple kernel learning

Cheng Soon Ong, Alexander Zien, A. Zien, 2007, ICML '07.

Learning to Find Graph Pre-images

Alexander Zien, Koji Tsuda, Gökhan H. Bakir, 2004, DAGM-Symposium.

Label Propagation and Quadratic Criterion

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Centralization: a new method for the normalization of gene expression data

Thomas Lengauer, Alexander Zien, Ralf Zimmer, 2001, ISMB.

Machine Learning in Bioinformatics

Gunnar Rätsch, Cheng Soon Ong, Alexander Zien, 2009, Encyclopedia of Database Systems.

Change of Representation

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Semi-Supervised Support Vector Machines and Application to Spam Filtering

Alexander Zien, 2006 .

Semi-Supervised Learning in Practice

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

lp-Norm Multiple Kernel Learning

Alexander Zien, Sören Sonnenburg, Marius Kloft, 2011, J. Mach. Learn. Res..

Abstract A34: Conquering resistance to targeted therapies through system‐based analysis of clinico‐molecular information

Alexander Zien, Martin Stein, Stefanie Brems, 2009 .

Graph Kernels by Spectral Transforms

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Semi-Supervised Text Classification Using EM

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Gaussian Processes and the Null-Category Noise Model

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Non-Sparse Regularization for Multiple Kernel Learning

Alexander Zien, Marius Kloft, Ulf Brefeld, 2010, 1003.0079.

The SHOGUN Machine Learning Toolbox

Gunnar Rätsch, Alexander Binder, Alexander Zien, 2010, J. Mach. Learn. Res..

Graph-Based Methods

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Support Vector Machines as Probabilistic Models

Bernhard Schölkopf, Alexander Zien, Vojtech Franc, 2011, ICML.

A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines

Robert Jenssen, Klaus-Robert Müller, Alexander Zien, 2012, PloS one.

Microarrays: how many do you need?

Juliane Fluck, Thomas Lengauer, Alexander Zien, 2002, RECOMB '02.

Comparing Sparse and Non-Sparse Multiple Kernel Learning

Alexander Zien, Sören Sonnenburg, Marius Kloft, 2009 .

Application of Parameter Optimization to Molecular Comparison Problems

Thomas Lengauer, Alexander Zien, Christian Lemmen, 1999, Pacific Symposium on Biocomputing.

Probabilistic Semi-Supervised Clustering with Constraints

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Semi-Supervised Learning

Alexander Zien, Olivier Chapelle, Bernhard Schlkopf, 2006 .

Non-Sparse Regularization with Multiple Kernels

Alexander Zien, Sören Sonnenburg, Marius Kloft, 2010 .

ARTS: accurate recognition of transcription starts in human

Gunnar Rätsch, Alexander Zien, Sören Sonnenburg, 2006, ISMB.

The Geometric Basis of Semi-Supervised Learning

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

A simple iterative approach to parameter optimization

Thomas Lengauer, Alexander Zien, Ralf Zimmer, 2000, RECOMB '00.

Confidence measures for protein fold recognition

Thomas Lengauer, Alexander Zien, Ralf Zimmer, 2002, Bioinform..

Analysis of Benchmarks

Bernhard Schölkopf, Alexander Zien, Olivier Chapelle, 2006, Semi-Supervised Learning.

Semi-Supervised Learning with Conditional Harmonic Mixing

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Confidence Measures for Fold Recognition

Thomas Lengauer, Alexander Zien, Ralf Zimmer, 2001, German Conference on Bioinformatics.

An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization

Cheng Soon Ong, Alexander Zien, 2006 .

Training and Approximation of a Primal Multiclass Support Vector Machine

Cheng Soon Ong, Alexander Zien, Fabio De Bona, 2007 .

mGene.web: a web service for accurate computational gene finding

Gunnar Rätsch, Cheng Soon Ong, Alexander Zien, 2009, Nucleic Acids Res..

Semi-Supervised Classification by Low Density Separation

Alexander Zien, Olivier Chapelle, O. Chapelle, 2005, AISTATS.

Metric-Based Approaches for Semi-Supervised Regression and Classification

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Data-Dependent Regularization

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

An Automated Combination of Kernels for Predicting Protein Subcellular Localization

Cheng Soon Ong, Alexander Zien, A. Zien, 2007, WABI.

A new scatter-based multi-class support vector machine

Robert Jenssen, Klaus-Robert Müller, Alexander Zien, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Semi-Supervised Learning (Adaptive Computation and Machine Learning)

Bernhard Schölkopf, Alexander Zien, Olivier Chapelle, 2006 .

Analysis of Gene Expression Data with Pathway Scores

Thomas Lengauer, Alexander Zien, Ralf Zimmer, 2000, ISMB.

Non-Sparse Regularization and Efficient Training with Multiple Kernels pdf

Alexander Zien, Sören Sonnenburg, Marius Kloft, 2010, ArXiv.

Microarrays: How Many Do You Need?

Juliane Fluck, Thomas Lengauer, Alexander Zien, 2003, J. Comput. Biol..

Efficient and Accurate Lp-Norm Multiple Kernel Learning

Klaus-Robert Müller, Alexander Zien, Sören Sonnenburg, 2009, NIPS.

An Augmented PAC Model for Semi-Supervised Learning

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

POIMs: positional oligomer importance matrices—understanding support vector machine-based signal detectors

Gunnar Rätsch, Alexander Zien, Sören Sonnenburg, 2008, ISMB.

Co-clustering of biological networks and gene expression data

Daniel Hanisch, Thomas Lengauer, Alexander Zien, 2002, ISMB.

A Taxonomy for Semi-Supervised Learning Methods

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Transductive Support Vector Machines

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Identification of Drug Target Proteins

Thomas Lengauer, Alexander Zien, Mevissen T Zimmer R Küffner R, 2000 .

Transductive support vector machines for structured variables

Alexander Zien, Ulf Brefeld, Tobias Scheffer, 2007, ICML '07.

A continuation method for semi-supervised SVMs

Alexander Zien, Mingmin Chi, Olivier Chapelle, 2006, ICML.

Transductive Inference and Semi-Supervised Learning

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

A simple iterative approach to parameter optimization

Thomas Lengauer, Alexander Zien, Ralf Zimmer, 2000, RECOMB '00.

Notation and Symbols

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Improving drug safety with a systems pharmacology approach.

Alexander Zien, Lawrence J Lesko, Mirjam N Trame, 2016, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Centralization: A biologically sensible method for the normalization of gene expression data

Thomas Lengauer, Alexander Zien, Ralf Zimmer, 2001 .

RNA secondary structure prediction using large margin methods

Gunnar Rätsch, Cheng Soon Ong, Alexander Zien, 2007, ISMB 2007.

Semi-Supervised Learning Using Semi-Definite Programming

Alexander Zien, Olivier Chapelle, Bernhard SchÃ¶lkopf, 2006 .

Large-scale gene expression profiling reveals major pathogenetic pathways of cartilage degeneration in osteoarthritis.

Alexander Zien, Ralf Zimmer, Thomas Aigner, 2006, Arthritis and rheumatism.

Computational Analysis of Gene Expression Data

Alexander Zien, 2004 .

Plasma microRNA profiles for bladder cancer detection.

Wang Jing, Alexander Zien, Lixia Diao, 2013, Urologic oncology.