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» Semi-Supervised Multitask Learning
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AAAI
2008
13 years 10 months ago
Transferring Multi-device Localization Models using Latent Multi-task Learning
Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yan...
BIOINFORMATICS
2010
74views more  BIOINFORMATICS 2010»
13 years 7 months ago
Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins
Yanjun Qi, Oznur Tastan, Jaime G. Carbonell, Judit...
ICML
2004
IEEE
14 years 8 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
ICML
2009
IEEE
14 years 8 months ago
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
We develop a cyclical blockwise coordinate descent algorithm for the multi-task Lasso that efficiently solves problems with thousands of features and tasks. The main result shows ...
Han Liu, Mark Palatucci, Jian Zhang
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 11 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson