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» Learning from Multiple Sources of Inaccurate Data
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BICOB
2010
Springer
14 years 7 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
AAAI
2008
14 years 11 months ago
Text Categorization with Knowledge Transfer from Heterogeneous Data Sources
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
Rakesh Gupta, Lev-Arie Ratinov
CI
2004
171views more  CI 2004»
14 years 9 months ago
A Multiple Resampling Method for Learning from Imbalanced Data Sets
Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz
JCB
2002
104views more  JCB 2002»
14 years 9 months ago
Learning Gene Functional Classifications from Multiple Data Types
Paul Pavlidis, Jason Weston, Jinsong Cai, William ...
WWW
2005
ACM
15 years 10 months ago
Web data extraction based on partial tree alignment
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
Yanhong Zhai, Bing Liu