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» Rough Set Methods in Approximation of Hierarchical Concepts
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KSEM
2010
Springer
13 years 5 months ago
A Concept Hierarchy Based Ontology Mapping Approach
Abstract. Ontology mapping is one of the most important tasks for ontology interoperability and its main aim is to find semantic relationships between entities (i.e. concept, attri...
Ying Wang, Weiru Liu, David A. Bell
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
NIPS
2004
13 years 9 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
ICCBR
2007
Springer
14 years 1 months ago
Usages of Generalization in Case-Based Reasoning
The aim of this paper is to analyze how the generalizations built by a CBR method can be used as local approximations of a concept. From this point of view, these local approximati...
Eva Armengol
PODS
2005
ACM
96views Database» more  PODS 2005»
14 years 1 months ago
Space complexity of hierarchical heavy hitters in multi-dimensional data streams
Heavy hitters, which are items occurring with frequency above a given threshold, are an important aggregation and summary tool when processing data streams or data warehouses. Hie...
John Hershberger, Nisheeth Shrivastava, Subhash Su...