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152
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NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 3 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
129
Voted
AAAI
2011
14 years 3 months ago
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...
Prashant P. Reddy, Manuela M. Veloso
140
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BMCBI
2010
179views more  BMCBI 2010»
15 years 3 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
208
Voted
SIGMOD
2007
ACM
150views Database» more  SIGMOD 2007»
16 years 3 months ago
System design issues in sensor databases
In-network sensor query processing systems (ISQPs), or sensor databases, have been developed to acquire, process and aggregate data from wireless sensor networks (WSNs). Because W...
Qiong Luo, Hejun Wu
123
Voted
ICEIS
2009
IEEE
15 years 10 months ago
MIDAS: A Middleware for Information Systems with QoS Concerns
One of the most difficult tasks in the design of information systems is how to control the behaviour of the back-end storage engine, usually a relational database. As the load on t...
Luís Fernando Orleans, Geraldo Zimbrã...