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» Nearness relations and topology
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NCA
2007
IEEE
14 years 4 months ago
A Topological Analysis of Monitor Placement
The Internet is an extremely complex system, and it is essential that we be able to make accurate measurements in order to understand its underlying behavior or to detect improper...
Alden W. Jackson, Walter C. Milliken, Cesar A. San...
IJCAI
1997
13 years 11 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
14 years 3 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
COLT
1993
Springer
14 years 2 months ago
Learning Binary Relations Using Weighted Majority Voting
In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
Sally A. Goldman, Manfred K. Warmuth
TSMC
2008
136views more  TSMC 2008»
13 years 9 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...