756 search results - page 126 / 152 » Adaptive Learning in Machine Summarization |
WSDM
2009
ACM
15 years 6 months ago
2009
ACM
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
141
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WWW
2010
ACM
15 years 6 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
122
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ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
113
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IJCNN
2008
IEEE
15 years 5 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
CIKM
2007
Springer
15 years 5 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...