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PAKDD
2010
ACM
151views Data Mining» more  PAKDD 2010»
14 years 2 months ago
Ensemble Learning Based on Multi-Task Class Labels
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
Qing Wang, Liang Zhang
CVPR
2010
IEEE
14 years 6 days ago
Multi-Task Warped Gaussian Process for Personalized Age Estimation
Automatic age estimation from facial images has aroused research interests in recent years due to its promising potential for some computer vision applications. Among the methods ...
Yu Zhang, Dit-Yan Yeung
AAAI
2010
13 years 10 months ago
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
Yahong Han, Fei Wu, Jinzhu Jia, Yueting Zhuang, Bi...
JMLR
2008
88views more  JMLR 2008»
13 years 9 months ago
Universal Multi-Task Kernels
In this paper we are concerned with reproducing kernel Hilbert spaces HK of functions from an input space into a Hilbert space Y, an environment appropriate for multi-task learnin...
Andrea Caponnetto, Charles A. Micchelli, Massimili...
COLING
2008
13 years 11 months ago
Switching to Real-Time Tasks in Multi-Tasking Dialogue
In this paper we describe an empirical study of human-human multi-tasking dialogues (MTD), where people perform multiple verbal tasks overlapped in time. We examined how conversan...
Fan Yang, Peter A. Heeman, Andrew L. Kun