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KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 1 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
ESANN
2008
14 years 11 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
IM
2007
14 years 11 months ago
Robust Monitoring of Network-wide Aggregates through Gossiping
Abstract—We investigate the use of gossip protocols for continuous monitoring of network-wide aggregates under crash failures. Aggregates are computed from local management varia...
Fetahi Wuhib, Mads Dam, Rolf Stadler, Alexander Cl...
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GLOBECOM
2008
IEEE
14 years 9 months ago
Correlation Among Piecewise Unwanted Traffic Time Series
In this paper, we investigate temporal and spatial correlations of time series of unwanted traffic (i.e., darknet or network telescope traffic) in order to estimate statistical beh...
Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Tosh...
BMCBI
2007
114views more  BMCBI 2007»
14 years 9 months ago
Probabilistic prediction and ranking of human protein-protein interactions
Background: Although the prediction of protein-protein interactions has been extensively investigated for yeast, few such datasets exist for the far larger proteome in human. Furt...
Michelle S. Scott, Geoffrey J. Barton