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» Mapping WordNets Using Structural Information
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DAGSTUHL
2009
15 years 3 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
KES
2007
Springer
15 years 8 months ago
Models for Identifying Structures in the Data: A Performance Comparison
This paper reports on the unsupervised analysis of seismic signals recorded in Italy, respectively on the Vesuvius volcano, located in Naples, and on the Stromboli volcano, located...
Anna Esposito, Antonietta M. Esposito, Flora Giudi...
WWW
2003
ACM
16 years 3 months ago
Piazza: data management infrastructure for semantic web applications
The Semantic Web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. To this point, researchers have defined new l...
Alon Y. Halevy, Zachary G. Ives, Peter Mork, Igor ...
129
Voted
BMCBI
2006
120views more  BMCBI 2006»
15 years 2 months ago
Integrating protein structures and precomputed genealogies in the Magnum database: Examples with cellular retinoid binding prote
Background: When accurate models for the divergent evolution of protein sequences are integrated with complementary biological information, such as folded protein structures, anal...
Michael E. Bradley, Steven A. Benner
124
Voted
IPPS
2006
IEEE
15 years 8 months ago
A method to improve structural modeling based on conserved domain clusters
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...
Fa Zhang, Lin Xu, Bo Yuan