Publications [#338870] of Lawrence Carin

Papers Published

1. Fang, J; Ji, S; Xue, Y; Carin, L, Multitask classification by learning the task relevance, IEEE Signal Processing Letters, vol. 15 (December, 2008), pp. 593-596, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1070-9908 [doi]
   (last updated on 2024/12/31)

   Abstract:
   We consider the problem of multitask learning (MTL), in which we simultaneously learn classifiers for multiple data sets (tasks), with sharing of intertask data as appropriate. We introduce a set of relevance parameters that control the degree to which data from other tasks are used in estimating the current task's classifier parameters. The set of relevance parameters are learned by maximizing their posterior probability, yielding an expectation-maximization (EM) algorithm. We illustrate the effectiveness of our approach through experimental results on a practical data set. © 2008 IEEE.