Anton Schwaighofer

发表

When Training and Test Sets Are Different

Neil D. Lawrence, Masashi Sugiyama, Amos Storkey, 2008 .

Projection and Projectability

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

Probabilistic Memory Based Collaborative Filtering: Learning Individual and Social Preferences

Hans-Peter Kriegel, Anton Schwaighofer, Kai Yu, 2004 .

Structure Learning with Nonparametric Decomposable Models

Anton Schwaighofer, Volker Tresp, Mathäus Dejori, 2007, ICANN.

Introduction to Dataset Shift

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

On the Training/Test Distributions Gap: A Data Representation Learning Framework

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

Removing redundancy and inconsistency in memory-based collaborative filtering

Hans-Peter Kriegel, Anton Schwaighofer, Xiaowei Xu, 2002, CIKM '02.

Predicting Error Bars for QSAR Models

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007 .

Scalable Kernel Systems

Anton Schwaighofer, Volker Tresp, 2001, ICANN.

When Training and Test Sets Are Different: Characterizing Learning Transfer

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

GPPS: A Gaussian Process Positioning System for Cellular Networks

Anton Schwaighofer, Volker Tresp, Marian Grigoras, 2003, NIPS.

The Bayesian Committee Support Vector Machine

Anton Schwaighofer, Volker Tresp, Volker Tresp, 2001, ICANN.

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

Peter Mayer, Anton Schwaighofer, Volker Tresp, 2002, NIPS.

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007, J. Comput. Aided Mol. Des..

Hierarchical Bayesian modelling with Gaus-sian processes

Anton Schwaighofer, Volker Tresp, Kevin C. Yu, 2005, NIPS 2005.

Learning Gaussian processes from multiple tasks

Anton Schwaighofer, Volker Tresp, Kai Yu, 2005, ICML.

Query clustering based on bid landscape for sponsored search auction optimization

Weiguo Liu, Anton Schwaighofer, Ye Chen, 2013, KDD.

A Probabilistic Approach to Classifying Metabolic Stability

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2008, J. Chem. Inf. Model..

Theoretical Views on Dataset and Covariate Shift

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

Scalable clustering and keyword suggestion for online advertisements

Joaquin Quiñonero Candela, Anton Schwaighofer, Thore Graepel, 2009, KDD Workshop on Data Mining and Audience Intelligence for Advertising.

Algorithms for Covariate Shift

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

Procédé de génération de références et de comparaison d'empreintes digitales

Anton Schwaighofer, Robert Leeb, Ernst Haselsteiner, 2000 .

Transductive and Inductive Methods for Approximate Gaussian Process Regression

Anton Schwaighofer, Volker Tresp, Volker Tresp, 2002, NIPS.

How wrong can we get? A review of machine learning approaches and error bars.

Gilles Blanchard, Sebastian Mika, Anton Schwaighofer, 2009, Combinatorial chemistry & high throughput screening.

Classification of rheumatoid joint inflammation based on laser imaging

Peter Mayer, Anton Schwaighofer, Volker Tresp, 2003, IEEE Transactions on Biomedical Engineering.

On Bayesian Transduction: Implications for the Covariate Shift Problem

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

Notation and Symbols

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

Mining functional modules in genetic networks with decomposable graphical models.

Anton Schwaighofer, Volker Tresp, Mathäus Dejori, 2004, Omics : a journal of integrative biology.

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

Wei-Ying Ma, Anton Schwaighofer, Volker Tresp, 2002, UAI.

Dataset Shift in Machine Learning

Neil D. Lawrence, Masashi Sugiyama, Anton Schwaighofer, 2009 .

Budget Optimization for Sponsored Search: Censored Learning in MDPs pdf

Anton Schwaighofer, Michael Kearns, Kareem Amin, 2012, UAI.

Gaussian Processes in Practice

Neil D. Lawrence, Anton Schwaighofer, Joaquin Quinonero Candela, 2007 .

Ieee Transactions on Knowledge and Data Engineering Probabilistic Memory-based Collaborative Filtering

Hans-Peter Kriegel, Anton Schwaighofer, Volker Tresp, 2022 .

Learning Gaussian Process Kernels via Hierarchical Bayes

Anton Schwaighofer, Volker Tresp, Kai Yu, 2004, NIPS.

Machine learning models for lipophilicity and their domain of applicability.

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007, Molecular pharmaceutics.

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007, J. Chem. Inf. Model..

Discriminative Learning under Covariate Shift with a Single Optimization Problem

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

A method and computer program with program code means, and computer program product for determining a structure contained in data using separable graphical models

Anton Schwaighofer, Volker Tresp, 2004 .

Geometry of Covariate Shift with Applications to Active Learning

Neil D. Lawrence, Masashi Sugiyama, Joaquin Quiñonero-Candela, 2009 .

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs pdf

Daniel C. Castro, Anton Schwaighofer, Besmira Nushi, 2021, ArXiv.

Active label cleaning: Improving dataset quality under resource constraints pdf

Daniel C. Castro, Ben Glocker, Anton Schwaighofer, 2021, ArXiv.

Binary Classification under Sample Selection Bias

Masashi Sugiyama, Joaquin Quiñonero-Candela, Anton Schwaighofer, 2009 .

Laser Imaging Techniques for Follow-up Analysis of Joint Inflammation in Patients with Rheumatoid Arthritis

Anton Schwaighofer, Volker Tresp, Alexander D. Klose, 2003 .

Sorting it out : Machine learning and fingerprints

Anton Schwaighofer, 2002 .