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CSDA
2007
99views more  CSDA 2007»
14 years 11 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
JUCS
2008
139views more  JUCS 2008»
14 years 11 months ago
A Progressive Learning Method for Symbol Recognition
: This paper deals with a progressive learning method for symbol recognition which improves its own recognition rate when new symbols are recognized in graphic documents. We propos...
Sabine Barrat, Salvatore Tabbone
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JUCS
2008
104views more  JUCS 2008»
14 years 11 months ago
Optimal Transit Price Negotiation: The Distributed Learning Perspective
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...
Dominique Barth, Loubna Echabbi, Chahinez Hamlaoui
EOR
2007
102views more  EOR 2007»
14 years 11 months ago
Bucket brigades with worker learning
The dynamics and throughput of a bucket brigade production system is studied when workersÕ speeds increase due to learning. It is shown that, if the rules of the bucket brigade s...
Dieter Armbruster, Esma Senturk Gel, Junko Murakam...
MOR
2006
79views more  MOR 2006»
14 years 11 months ago
Poisson Disorder Problem with Exponential Penalty for Delay
Abstract. We solve the Poisson disorder problem when the delay is penalized exponentially. Our objective is to detect as quickly as possible the unobservable time of the change (or...
Erhan Bayraktar, Savas Dayanik