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TNN
1998
146views more  TNN 1998»
15 years 6 months ago
An analytical framework for local feedforward networks
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
S. Weaver, L. Baird, Marios M. Polycarpou
ISBRA
2010
Springer
15 years 4 months ago
Analysis of Gene Interactions Using Restricted Boolean Networks and Time-Series Data
A popular model for gene regulatory networks is the Boolean network model. In this paper, we propose an algorithm to perform an analysis of gene regulatory interactions using the B...
Carlos H. A. Higa, Vitor H. P. Louzada, Ronaldo Fu...
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
15 years 4 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
NCA
2011
IEEE
15 years 1 months ago
The effect of weight fault on associative networks
In the past three decades, the properties of associative networks has been extensively investigated. However, most existing results focus on the fault-free networks only. In implem...
Andrew Chi-Sing Leung, Pui-Fai Sum, Kevin Ho
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
14 years 2 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...