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» On Structural Analysis of Large Networks
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ALIFE
2006
15 years 6 months ago
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaa...
163
Voted
CCR
2002
133views more  CCR 2002»
15 years 6 months ago
Crossover scaling effects in aggregated TCP traffic with congestion losses
We critically examine the claims that TCP congestion control contributes to the observed self-similar traffic rate correlations. A simulation model is designed to analyze aggregat...
Michael Liljenstam, Andrew T. Ogielski
JOCN
2010
90views more  JOCN 2010»
15 years 4 months ago
Distinct Neural Correlates for Volitional Generation and Inhibition of Saccades
■ The antisaccade task has proven highly useful in basic and clinical neuroscience, and the neural structures involved are well documented. However, the specific neurocognitive ...
Benedikt Reuter, Christian Kaufmann, Julia Bender,...
195
Voted
LWA
2007
15 years 7 months ago
Know the Right People? Recommender Systems for Web 2.0
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Stefan Siersdorfer, Sergej Sizov, Paul Clough
171
Voted
NIPS
1998
15 years 7 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller