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» Bayesian network modelling through qualitative patterns
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TNN
2010
234views Management» more  TNN 2010»
14 years 10 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
BMCBI
2005
126views more  BMCBI 2005»
15 years 3 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
CLEIEJ
2007
152views more  CLEIEJ 2007»
15 years 3 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
CCS
2006
ACM
15 years 6 months ago
Hot or not: revealing hidden services by their clock skew
Location-hidden services, as offered by anonymity systems such as Tor, allow servers to be operated under a pseudonym. As Tor is an overlay network, servers hosting hidden service...
Steven J. Murdoch
GIS
2009
ACM
15 years 7 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson