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SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
15 years 3 months ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
SSDBM
2003
IEEE
160views Database» more  SSDBM 2003»
15 years 3 months ago
The Virtual Data Grid: A New Model and Architecture for Data-Intensive Collaboration
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
Ian T. Foster
CCGRID
2010
IEEE
14 years 11 months ago
Dynamic TTL-Based Search in Unstructured Peer-to-Peer Networks
Abstract--Resource discovery is a challenging issue in unstructured peer-to-peer networks. Blind search approaches, including flooding and random walks, are the two typical algorit...
Imen Filali, Fabrice Huet
SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
15 years 10 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...
AIIA
2009
Springer
15 years 4 months ago
Ontology-Driven Co-clustering of Gene Expression Data
Abstract. The huge volume of gene expression data produced by microarrays and other high-throughput techniques has encouraged the development of new computational techniques to eva...
Francesca Cordero, Ruggero G. Pensa, Alessia Visco...