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» Adaptive Learning from Evolving Data Streams
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EMNLP
2006
15 years 5 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
144
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EDBT
2012
ACM
266views Database» more  EDBT 2012»
13 years 6 months ago
Stormy: an elastic and highly available streaming service in the cloud
In recent years, new highly scalable storage systems have significantly contributed to the success of Cloud Computing. Systems like Dynamo or Bigtable have underpinned their abil...
Simon Loesing, Martin Hentschel, Tim Kraska, Donal...
134
Voted
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
133
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WM
2003
15 years 5 months ago
First Steps towards Personalization Concepts in eLearning
: After years of constant progress in developing software tools to support education and training, the focus in eLearning has recently been shifted from the supporting tools toward...
Armin Ulbrich, Dolly Kandpal, Klaus Tochtermann
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 8 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung