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ICDE
2006
IEEE
156views Database» more  ICDE 2006»
14 years 8 months ago
Reasoning About Approximate Match Query Results
Join techniques deploying approximate match predicates are fundamental data cleaning operations. A variety of predicates have been utilized to quantify approximate match in such o...
Sudipto Guha, Nick Koudas, Divesh Srivastava, Xiao...
PEWASUN
2008
ACM
13 years 9 months ago
Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks
In this paper we present an experimental study conducted in 802.11based mesh networks of three existing rate adaptation algorithms. The aim of this study is twofold. On the one ha...
Emilio Ancillotti, Raffaele Bruno, Marco Conti
BMCBI
2010
224views more  BMCBI 2010»
13 years 7 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
CG
2000
Springer
13 years 11 months ago
A Least-Certainty Heuristic for Selective Search
: We present a new algorithm for selective search by iterative expansion of leaf nodes. The algorithm reasons with leaf evaluations in a way that leads to high confidence in the c...
Paul E. Utgoff, Richard P. Cochran
CEC
2009
IEEE
14 years 2 months ago
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms
— This paper attempts to address the question of scaling up Particle Swarm Optimization (PSO) algorithms to high dimensional optimization problems. We present a cooperative coevo...
Xiaodong Li, Xin Yao