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IJCAI
2003
15 years 5 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
121
Voted
NN
2002
Springer
105views Neural Networks» more  NN 2002»
15 years 3 months ago
The computational role of dopamine D1 receptors in working memory
The prefrontal cortex (PFC) is essential for working memory, which is the ability to transiently hold and manipulate information necessary for generating forthcoming action. PFC n...
Daniel Durstewitz, Jeremy K. Seamans
LANOMS
2007
IEEE
172views Education» more  LANOMS 2007»
15 years 10 months ago
Implementing and Deploying Network Monitoring Service Oriented Architectures
—Recently there is a growing interest in accessing network measurement and status data across multiple domains, in order to detect eventual network problems which can hinder the ...
Leobino Nascimento Sampaio, Ivo Koga, Rafael Costa...
IJCNN
2006
IEEE
15 years 10 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu
124
Voted
ICANN
2010
Springer
15 years 5 months ago
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....