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» Prediction on Spike Data Using Kernel Algorithms
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135
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ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
15 years 9 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee
107
Voted
ESANN
2003
15 years 4 months ago
Autonomous learning algorithm for fully connected recurrent networks
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre
111
Voted
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
15 years 9 months ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
129
Voted
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 3 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
114
Voted
GLOBECOM
2010
IEEE
15 years 18 days 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...