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128
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NC
2006
132views Neural Networks» more  NC 2006»
15 years 2 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
96
Voted
IJON
2007
117views more  IJON 2007»
15 years 2 months ago
Learning sensory representations with intrinsic plasticity
Intrinsic plasticity (IP) refers to a neuron’s ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combinin...
Nicholas Butko, Jochen Triesch
RAS
2007
117views more  RAS 2007»
15 years 2 months ago
Learning spatial concepts from RatSLAM representations
RatSLAM is a biologically-inspired visual SLAM and navigation system that has been shown to be effective indoors and outdoors on real robots. The spatial representation at the cor...
Michael Milford, Ruth Schulz, David Prasser, Gordo...
132
Voted
ADHOCNETS
2010
Springer
14 years 11 months ago
DCLA: A Duty-Cycle Learning Algorithm for IEEE 802.15.4 Beacon-Enabled WSNs
The current specification for IEEE 802.15.4 beacon-enabled networks does not define how active and sleep schedules should be configured in order to achieve the optimal network perf...
Rodolfo de Paz Alberola, Dirk Pesch
170
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CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 9 months ago
Online Learning of Rested and Restless Bandits
In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K...
Cem Tekin, Mingyan Liu