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» Learning from Multiple Sources of Inaccurate Data
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130
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BICOB
2010
Springer
15 years 18 days 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
136
Voted
AAAI
2008
15 years 4 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
94
Voted
CI
2004
171views more  CI 2004»
15 years 2 months ago
A Multiple Resampling Method for Learning from Imbalanced Data Sets
Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz
118
Voted
JCB
2002
104views more  JCB 2002»
15 years 2 months ago
Learning Gene Functional Classifications from Multiple Data Types
Paul Pavlidis, Jason Weston, Jinsong Cai, William ...
132
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WWW
2005
ACM
16 years 3 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