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NIPS
2007
15 years 7 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
NIPS
2007
15 years 7 months ago
Receptive Fields without Spike-Triggering
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
Jakob Macke, Guenther Zeck, Matthias Bethge
NIPS
2007
15 years 7 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
OPODIS
2007
15 years 7 months ago
Worm Versus Alert: Who Wins in a Battle for Control of a Large-Scale Network?
Consider the following game between a worm and an alert3 over a network of n nodes. Initially, no nodes are infected or alerted and each node in the network is a special detector n...
James Aspnes, Navin Rustagi, Jared Saia
PDCN
2007
15 years 7 months ago
Modified collision packet classification using counting bloom filter in tuple space
Packet classification continues to be an important challenge in network processing. It requires matching each packet against a database of rules and forwarding the packet accordi...
Mahmood Ahmadi, Stephan Wong
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