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» A Hierarchical Clustering Method for Semantic Knowledge Base...
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SEMCO
2008
IEEE
15 years 6 months ago
Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
ESWS
2008
Springer
15 years 2 months ago
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection
Abstract. The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simp...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
AAAI
2008
15 years 2 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
ICCS
2004
Springer
15 years 5 months ago
Hierarchical Matrix-Matrix Multiplication Based on Multiprocessor Tasks
We consider the realization of matrix-matrix multiplication and propose a hierarchical algorithm implemented in a task-parallel way using multiprocessor tasks on distributed memory...
Sascha Hunold, Thomas Rauber, Gudula Rünger
GIS
2002
ACM
15 years 4 days ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan