Learning Paradigms

A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Discriminative Batch Mode Active Learning NeurIPS 2007 Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007 Learning omnidirectional path following using dimensionality reduction RSS 2007 Learning Visual Attributes NeurIPS 2007 Multi-task Gaussian Process Prediction NeurIPS 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Online Learning of Multiple Tasks with a Shared Loss JMLR 2007 Semi-Supervised Multitask Learning NeurIPS 2007 Statistical Analysis of Semi-Supervised Regression NeurIPS 2007 The On-Line Shortest Path Problem Under Partial Monitoring JMLR 2007 The Value of Labeled and Unlabeled Examples when the Model is Imperfect NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 Transfer Learning via Inter-Task Mappings for Temporal Difference Learning JMLR 2007 Active learning for misspecified generalized linear models NeurIPS 2006 Analysis of Representations for Domain Adaptation NeurIPS 2006 A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo NeurIPS 2006 Bounds for Linear Multi-Task Learning JMLR 2006