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SIGKDD
2000
112views more  SIGKDD 2000»
15 years 1 months ago
Artificial Neural Networks - A Science in Trouble
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
Asim Roy
GLOBECOM
2010
IEEE
14 years 11 months ago
Predicting Critical Intradomain Routing Events
Network equipments generate an overwhelming number of reports and alarms every day, but only a small fraction of these alarms require the intervention of network operators. Our goa...
Amelie Medem Kuatse, Renata Teixeira, Nicolas Usun...
PAM
2011
Springer
14 years 4 months ago
FACT: Flow-Based Approach for Connectivity Tracking
More than 20 years after the launch of the public Internet, operator forums are still full of reports about temporary unreachability of complete networks. We propose FACT, a system...
Dominik Schatzmann, Simon Leinen, Jochen Köge...
SIGIR
2009
ACM
15 years 8 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 2 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley