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» Approximate Temporal Aggregation
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IJCNN
2008
IEEE
15 years 7 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...
113
Voted
SSDBM
2006
IEEE
139views Database» more  SSDBM 2006»
15 years 6 months ago
Sampling Trajectory Streams with Spatiotemporal Criteria
Monitoring movement of high-dimensional points is essential for environmental databases, geospatial applications, and biodiversity informatics as it reveals crucial information ab...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
VISUALIZATION
1998
IEEE
15 years 5 months ago
Smooth view-dependent level-of-detail control and its application to terrain rendering
The key to real-time rendering of large-scale surfaces is to locally adapt surface geometric complexity to changing view parameters. Several schemes have been developed to address...
Hugues Hoppe
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 5 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
UAI
2008
15 years 2 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash