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» Data selection for support vector machine classifiers
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SEMWEB
2010
Springer
14 years 7 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
USENIX
2007
15 years 5 days ago
Supporting Practical Content-Addressable Caching with CZIP Compression
Content-based naming (CBN) enables content sharing across similar files by breaking files into positionindependent chunks and naming these chunks using hashes of their contents....
KyoungSoo Park, Sunghwan Ihm, Mic Bowman, Vivek S....
PAKDD
2009
ACM
233views Data Mining» more  PAKDD 2009»
15 years 2 months ago
A Kernel Framework for Protein Residue Annotation
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
Huzefa Rangwala, Christopher Kauffman, George Kary...
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
15 years 10 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
EUROCOLT
1999
Springer
15 years 2 months ago
Query by Committee, Linear Separation and Random Walks
Abstract. Recent works have shown the advantage of using Active Learning methods, such as the Query by Committee (QBC) algorithm, to various learning problems. This class of Algori...
Ran Bachrach, Shai Fine, Eli Shamir