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ICML
2010
IEEE
15 years 7 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
MM
2010
ACM
174views Multimedia» more  MM 2010»
15 years 6 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
COMPLEXITY
2006
144views more  COMPLEXITY 2006»
15 years 6 months ago
BML revisited: Statistical physics, computer simulation, and probability
Statistical physics, computer simulation and discrete mathematics are intimately related through the study of shared lattice models. These models lie at the foundation of all thre...
Raissa M. D'Souza
IJSWIS
2008
108views more  IJSWIS 2008»
15 years 6 months ago
Identity of Resources and Entities on the Web
One of the main strengths of the web is that it allows any party of its global community to share information with any other party. This goal has been achieved by making use of a u...
Valentina Presutti, Aldo Gangemi
JCP
2006
173views more  JCP 2006»
15 years 6 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar