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BC
2006
105views more  BC 2006»
15 years 6 months ago
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks
Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...
Cengiz Günay, Anthony S. Maida
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 6 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk
CGF
2007
127views more  CGF 2007»
15 years 6 months ago
Crowds by Example
We present an example-based crowd simulation technique. Most crowd simulation techniques assume that the behavior exhibited by each person in the crowd can be defined by a restri...
Alon Lerner, Yiorgos Chrysanthou, Dani Lischinski
DKE
2007
95views more  DKE 2007»
15 years 6 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
NETWORK
2008
68views more  NETWORK 2008»
15 years 6 months ago
A retrospective view of network address translation
Today, network address translators, or NATs, are everywhere. Their ubiquitous adoption was not promoted by design or planning but by the continued growth of the Internet, which pl...
Lixia Zhang