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Transfer Learning

4,848 papers

Papers per year

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Papers

Subject independent EEG-based BCI decoding NIPS 2009
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis NIPS 2008
Domain Adaptation with Multiple Sources NIPS 2008
Phase transitions for high-dimensional joint support recovery NIPS 2008
Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
Learning Bounds for Domain Adaptation NIPS 2007
Multi-task Gaussian Process Prediction NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Learning from Multiple Sources NIPS 2006
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005
Benefitting from the Variables that Variable Selection Discards JMLR 2003
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003
Evaluating Translational Correspondence using Annotation Projection ACL 2002