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Transfer Learning

1113 directly classified papers

Papers per year

Papers

Phase transitions for high-dimensional joint support recovery NIPS 2008
Gaussian Process Models for Link Analysis and Transfer Learning 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
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Mixture Regression for Covariate Shift NIPS 2006
Learning from Multiple Sources NIPS 2006
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach 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