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» On the Computational Power of Neural Nets
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ICDE
2008
IEEE
188views Database» more  ICDE 2008»
16 years 1 months ago
Efficient Aggregate Computation over Data Streams
Abstract-- Cisco's NetFlow Collector (NFC) is a powerful example of a real-world product that supports multiple aggregate queries over a continuous stream of IP flow records. ...
Kanthi Nagaraj, K. V. M. Naidu, Rajeev Rastogi, Sc...
IWANN
2005
Springer
15 years 5 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
93
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IJCNN
2000
IEEE
15 years 4 months ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta
EPS
1995
Springer
15 years 3 months ago
PANIC: A Parallel Evolutionary Rule Based System
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
Antonella Giani, Fabrizio Baiardi, Antonina Starit...
GIS
2009
ACM
15 years 3 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov