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» Augmentation of adaptation data
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EMNLP
2006
15 years 6 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
126
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NIPS
2004
15 years 6 months ago
Adaptive Manifold Learning
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Jing Wang, Zhenyue Zhang, Hongyuan Zha
157
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NAACL
2010
15 years 2 months ago
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
In this paper we examine different linguistic features for sentimental polarity classification, and perform a comparative study on this task between blog and review data. We found...
Feifan Liu, Dong Wang, Bin Li, Yang Liu
AAAI
2012
13 years 7 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo
DOLAP
2003
ACM
15 years 10 months ago
Achieving adaptivity for OLAP-XML federations
Motivated by the need for more flexible OLAP systems, this paper presents work on logical integration of external data in OLAP databases, carried out in cooperation between the D...
Dennis Pedersen, Torben Bach Pedersen