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ESWS
2006
Springer
15 years 10 months ago
An Iterative Algorithm for Ontology Mapping Capable of Using Training Data
We present a new iterative algorithm for ontology mapping where we combine standard string distance metrics with a structural similarity measure that is based on a vector represent...
Andreas Heß
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 10 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
HCI
2007
15 years 8 months ago
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
Filippo Geraci, Mauro Leoncini, Manuela Montangero...
ACL
2009
15 years 4 months ago
A Beam-Search Extraction Algorithm for Comparable Data
This paper extends previous work on extracting parallel sentence pairs from comparable data (Munteanu and Marcu, 2005). For a given source sentence S, a maximum entropy (ME) class...
Christoph Tillmann
ICPR
2002
IEEE
15 years 11 months ago
A New Mesh Simplification Algorithm Combining Half-Edge Data Structure with Modified Quadric Error Metric
This paper presents a fast mesh simplification algorithm that combined the half-edge data structure with modified quadric error metric (QEM). When half-edge structure is used, the...
Guangming Li, Jie Tian, Mingchang Zhao, Huiguang H...