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ESANN
2008
14 years 11 months ago
Computational model for amygdala neural networks
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
Jean Marc Salotti
IPSN
2009
Springer
15 years 4 months ago
Predictive QoS routing to mobile sinks in wireless sensor networks
We present an algorithm for data delivery to mobile sinks in wireless sensor networks. Our algorithm is based on information potentials, which we extend to account for mobility. W...
Branislav Kusy, HyungJune Lee, Martin Wicke, Nikol...
IJCAI
2003
14 years 11 months ago
Collaborative Filtering Using Associative Neural Memory
There are two types of collaborative filtering (CF) systems, user-based and item-based. This paper introduces an item-based CF system for ranking derived from Linear Associative ...
Chuck P. Lam
GISCIENCE
2010
Springer
231views GIS» more  GISCIENCE 2010»
14 years 11 months ago
Efficient Data Collection and Event Boundary Detection in Wireless Sensor Networks Using Tiny Models
Using wireless geosensor networks (WGSN), sensor nodes often monitor a phenomenon that is both continuous in time and space. However, sensor nodes take discrete samples, and an ana...
Kraig King, Silvia Nittel
AUSDM
2007
Springer
104views Data Mining» more  AUSDM 2007»
15 years 1 months ago
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets
This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market....
Chandima Tilakaratne, Musa A. Mammadov, Sidney A. ...