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PREMI
2005
Springer
15 years 11 months ago
Approximation Spaces in Machine Learning and Pattern Recognition
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin...
151
Voted
IJCNN
2006
IEEE
15 years 12 months ago
Spatiotemporal Pattern Recognition via Liquid State Machines
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
Eric Goodman, Dan Ventura
154
Voted
AE
2007
Springer
16 years 9 hour ago
Minimal and Necessary Conditions for the Emergence of Species-Specific Recognition Patterns
A simple mechanism is presented for the emergence of recognition patterns that are used by individuals to find each other and mate. The genetic component determines the brain of an...
Nicolas Brodu
157
Voted
CIARP
2006
Springer
15 years 9 months ago
A Machine Learning Framework Using SOMs: Applications in the Intestinal Motility Assessment
Fernando Vilariño, Panagiota Spyridonos, Jo...
131
Voted
ALT
2005
Springer
16 years 2 months ago
On Computability of Pattern Recognition Problems
Daniil Ryabko