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» Polynomial Time Data Reduction for Dominating Set
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ICPR
2008
IEEE
15 years 3 months ago
Clustering-based locally linear embedding
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
Kanghua Hui, Chunheng Wang
ISMIS
2005
Springer
15 years 3 months ago
Scalable Inductive Learning on Partitioned Data
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
Qijun Chen, Xindong Wu, Xingquan Zhu
EPIA
2005
Springer
15 years 3 months ago
Reducing Propositional Theories in Equilibrium Logic to Logic Programs
The paper studies reductions of propositional theories in equilibrium logic to logic programs under answer set semantics. Specifically we are concerned with the question of how to...
Pedro Cabalar, David Pearce, Agustín Valver...
APIN
2004
131views more  APIN 2004»
14 years 9 months ago
Rough Self Organizing Map
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra
CORR
2012
Springer
225views Education» more  CORR 2012»
13 years 5 months ago
The Filter-Placement Problem and its Application to Minimizing Information Multiplicity
In many information networks, data items – such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route u...
Dóra Erdös, Vatche Ishakian, Andrei La...