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PPSN
2010
Springer
15 years 2 months ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
CIKM
2009
Springer
15 years 11 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
PAM
2009
Springer
15 years 11 months ago
Data Gathering in Optical Networks with the TL1 Toolkit
This paper describes a new tool for gathering (performance) data from optical network devices. During the last few years many National Research and Education Networks (NRENs) have ...
Ronald van der Pol, Andree Toonk
BMCBI
2005
122views more  BMCBI 2005»
15 years 4 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
ICWSM
2009
15 years 2 months ago
Gephi: An Open Source Software for Exploring and Manipulating Networks
Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and ...
Mathieu Bastian, Sebastien Heymann, Mathieu Jacomy