Convex multi-task feature learning
Regularized multi–task learning
Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD ’04
Machine Learning
Theodoros Evgeniou
Andreas Argyriou
Clustered Model Adaption for Personalized Sentiment Analysis
Variable Selection and Task Grouping for Multi-Task Learning
Learning incoherent sparse and low-rank patterns from multiple tasks
Efficient multi-task feature learning with calibration
An accelerated gradient method for trace norm minimization
ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition