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CIKM
2008
Springer
14 years 11 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
CIKM
2008
Springer
14 years 11 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
DGO
2006
129views Education» more  DGO 2006»
14 years 11 months ago
Automatic alignment of vector data and orthoimagery for the national map
A general problem in combining road vector data with orthoimagery from different sources is that they rarely align. There are a variety of causes to this problem, but the most com...
Craig A. Knoblock, Cyrus Shahabi, Ching-Chien Chen...
EUMAS
2006
14 years 11 months ago
DimaX: A Fault-Tolerant Multi-Agent Platform
Fault tolerance is an important property of large-scale multiagent systems as the failure rate grows with both the number of the hosts and deployed agents, and the duration of com...
Nora Faci, Zahia Guessoum, Olivier Marin
IJCAI
1989
14 years 11 months ago
A Computational Framework for Granularity and its Application to Educational Diagnosis
Many artificial intelligence systems implicitly use notions of granularity in reasoning, but there is very little research into granularity itself. An exception is the work of Hob...
Jim E. Greer, Gordon I. McCalla