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» Domain Adaptation via Transfer Component Analysis
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141
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DASFAA
2008
IEEE
120views Database» more  DASFAA 2008»
15 years 10 months ago
Knowledge Transferring Via Implicit Link Analysis
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu
153
Voted
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 4 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
ECIR
2009
Springer
15 years 1 months ago
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...
Songbo Tan, Xueqi Cheng, Yuefen Wang, Hongbo Xu
143
Voted
KBSE
1999
IEEE
15 years 8 months ago
Automatic Software Clustering via Latent Semantic Analysis
The paper describes the initial results of applying Latent Semantic Analysis (LSA) to program source code and associated documentation. Latent Semantic Analysis is a corpus-based ...
Jonathan I. Maletic, Naveen Valluri
112
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Hybrid design of filtered-x adaptive algorithm via sampled-data control theory
Analysis and design of ltered-x adaptive algorithms are conventionally done by assuming that the transfer function in the secondary path is a discrete-time system. However, in rea...
Masaaki Nagahara, Yutaka Yamamoto