Sciweavers

697 search results - page 7 / 140
» Approximation of Information Granule Sets
Sort
View
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 9 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
88
Voted
RSKT
2010
Springer
14 years 7 months ago
Ordered Weighted Average Based Fuzzy Rough Sets
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
Chris Cornelis, Nele Verbiest, Richard Jensen
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
15 years 3 months ago
Approximating information content for active sensing tasks using the unscented transform
— This paper presents an approach to approximate information content for active sensing tasks. The Unscented Transform is used to represent probability distributions by a set of ...
Eric W. Frew
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
12 years 12 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
ACM
1995
15 years 1 months ago
Rough Sets
We study properties of rough sets, that is, approximations to sets of records in a database or, more formally, to subsets of the universe of an information system. A rough set is a...
Zdzislaw Pawlak