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» Learning the Common Structure of Data
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RECOMB
2010
Springer
13 years 10 months ago
MoGUL: Detecting Common Insertions and Deletions in a Population
Abstract. While the discovery of structural variants in the human population is ongoing, most methods for this task assume that the genome is sequenced to high coverage (e.g. 40x),...
Seunghak Lee, Eric Xing, Michael Brudno
CLEF
2010
Springer
13 years 7 months ago
External Plagiarism Detection Based on Standard IR Technology and Fast Recognition of Common Subsequences - Lab Report for PAN a
The plagiarism detection system described in this paper is aiming at bringing external plagiarism detection to the desktop. The main ideas are to incorporate standard IR technologi...
Thomas Gottron
ACL
2006
13 years 8 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang
JGAA
2007
135views more  JGAA 2007»
13 years 6 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
ICML
2007
IEEE
14 years 7 months ago
Uncovering shared structures in multiclass classification
This paper suggests a method for multiclass learning with many classes by simultaneously learning shared characteristics common to the classes, and predictors for the classes in t...
Yonatan Amit, Michael Fink 0002, Nathan Srebro, Sh...