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» On simulation model complexity
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STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 4 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
104
Voted
BMCBI
2010
177views more  BMCBI 2010»
15 years 28 days ago
Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets
Background: Phylogenetic analysis can be used to divide a protein family into subfamilies in the absence of experimental information. Most phylogenetic analysis methods utilize mu...
Aydin Albayrak, Hasan H. Otu, Ugur O. Sezerman
CORR
2010
Springer
319views Education» more  CORR 2010»
15 years 28 days ago
Investigating Output Accuracy for a Discrete Event Simulation Model and an Agent Based Simulation Model
In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out ...
Mazlina Abdul Majid, Uwe Aickelin, Peer-Olaf Siebe...
85
Voted
BC
2008
72views more  BC 2008»
15 years 28 days ago
Dynamics and bifurcations of the adaptive exponential integrate-and-fire model
Recently, several two-dimensional spiking neuron models have been introduced, with the aim of reproducing the diversity of electrophysiological features displayed by real neurons w...
Jonathan Touboul, Romain Brette
106
Voted
WSC
2007
15 years 3 months ago
Visualization of users' activities in a specific environment
Evaluation of user interface design is usually based on usability testing methods. In this paper we analyzed and described the user behavior in the form of the user model. The use...
Zdenek Mikovec, Ivo Malý, Pavel Slaví...