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ESANN
2004
13 years 9 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
ACMICEC
2006
ACM
191views ECommerce» more  ACMICEC 2006»
14 years 1 months ago
An ontology of trust: formal semantics and transitivity
This paper formalizes the semantics of trust and studies the transitivity of trust. On the Web, people and software agents have to interact with “strangers”. This makes trust ...
Jingwei Huang, Mark S. Fox
ICDE
2011
IEEE
194views Database» more  ICDE 2011»
12 years 11 months ago
Representative skylines using threshold-based preference distributions
— The study of skylines and their variants has received considerable attention in recent years. Skylines are essentially sets of most interesting (undominated) tuples in a databa...
Atish Das Sarma, Ashwin Lall, Danupon Nanongkai, R...
WWW
2008
ACM
14 years 8 months ago
Statistical properties of community structure in large social and information networks
A large body of work has been devoted to identifying community structure in networks. A community is often though of as a set of nodes that has more connections between its member...
Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Mi...
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
14 years 2 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...