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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
VRML
2005
ACM
14 years 26 days ago
Visualization across the pond: how a wireless PDA can collaborate with million-polygon datasets via 9, 000km of cable
We present an initial report on using our distributed, collaborative grid enabled visualization environment to link SuperComputing 2004 (Pittsburgh, PA, USA) with the Cardiff Scho...
Ian J. Grimstead, Nick J. Avis, David W. Walker
LREC
2010
201views Education» more  LREC 2010»
13 years 8 months ago
Cultural Heritage: Knowledge Extraction from Web Documents
This article presents the use of NLP techniques (text mining, text analysis) to develop specific tools that allow to create linguistic resources related to the cultural heritage d...
Eva Sassolini, Alessandra Cinini
ESANN
2004
13 years 8 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
IH
2004
Springer
14 years 21 days ago
Empirical and Theoretical Evaluation of Active Probing Attacks and Their Countermeasures
A variety of remote sensing attacks allow adversaries to break flow confidentiality and gather mission-critical information in distributed systems. Such attacks are easily supple...
Xinwen Fu, Bryan Graham, Dong Xuan, Riccardo Betta...