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| Publications [#367272] of Lawrence Carin
Papers Published
- Liu, Q; Liao, X; Carin, L, Semi-supervised multitask learning,
Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference
(January, 2008), ISBN 9781605603520
(last updated on 2024/12/31)
Abstract: A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data manifolds, are learned jointly under the constraint of a soft-sharing prior imposed over the parameters of the classifiers. The unlabeled data are utilized by basing classifier learning on neighborhoods, induced by a Markov random walk over a graph representation of each manifold. Experimental results on real data sets demonstrate that semi-supervised MTL yields significant improvements in generalization performance over either semi-supervised single-task learning (STL) or supervised MTL.
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