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BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
IJON
2006
146views more  IJON 2006»
13 years 8 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
DAC
2009
ACM
14 years 2 months ago
Beyond verification: leveraging formal for debugging
The latest advancements in the commercial formal model checkers have enabled the integration of formal property verification with the conventional testbench based methods in the o...
Rajeev K. Ranjan, Claudionor Coelho, Sebastian Ska...
ENGL
2006
84views more  ENGL 2006»
13 years 8 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
MOBIHOC
2008
ACM
14 years 7 months ago
Bubble rap: social-based forwarding in delay tolerant networks
In this paper we seek to improve our understanding of human mobility in terms of social structures, and to use these structures in the design of forwarding algorithms for Pocket S...
Pan Hui, Jon Crowcroft, Eiko Yoneki