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» Structured Relation Discovery using Generative Models
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ACMSE
2005
ACM
15 years 5 months ago
Bibliometric approach to community discovery
Recent research suggests that most of the real-world random networks organize themselves into communities. Communities are formed by subsets of nodes in a graph, which are closely...
Narsingh Deo, Hemant Balakrishnan
SAC
2010
ACM
15 years 6 months ago
A generative pattern model for mining binary datasets
In many application fields, huge binary datasets modeling real life-phenomena are daily produced. The dataset records are usually associated with observations of some events, and...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
JMLR
2002
138views more  JMLR 2002»
14 years 11 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ISM
2005
IEEE
112views Multimedia» more  ISM 2005»
15 years 5 months ago
Generating MPEG-21 BSDL Descriptions Using Context-Related Attributes
In order to efficiently deal with the heterogeneity in the current and future multimedia ecosystem, it is necessary that content can be adapted in a format-agnostic manner. A fi...
Davy De Schrijver, Wesley De Neve, Koen De Wolf, R...
BMCBI
2006
143views more  BMCBI 2006»
14 years 11 months ago
Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
Eric D. Scheeff, Philip E. Bourne