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214
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BMCBI
2006
101views more  BMCBI 2006»
15 years 7 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
170
Voted
NETWORKING
2007
15 years 8 months ago
Detecting 802.11 Wireless Hosts from Remote Passive Observations
Abstract. The wide deployment of 802.11 WLANs has led to the coexistence of wired and wireless clients in a network environment. This paper presents a robust technique to detect 80...
Valeria Baiamonte, Konstantina Papagiannaki, Gianl...
213
Voted
IJON
2007
184views more  IJON 2007»
15 years 6 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
183
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APIN
1999
107views more  APIN 1999»
15 years 6 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
141
Voted
ESANN
2003
15 years 8 months ago
An event-driven framework for the simulation of networks of spiking neurons
We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
Olivier Rochel, Dominique Martinez