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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
GECCO
2009
Springer
16 years 1 months ago
Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
Tim Hohm, Eckart Zitzler
BROADNETS
2006
IEEE
16 years 16 days ago
SeeMote: In-Situ Visualization and Logging Device for Wireless Sensor Networks
In this paper we address three challenges that are present when building and analyzing wireless sensor networks (WSN) as part of ubiquitous computing environment: the need for an ...
Leo Selavo, Gang Zhou, John A. Stankovic
DATE
2006
IEEE
123views Hardware» more  DATE 2006»
16 years 15 days ago
Networks on chips for high-end consumer-electronics TV system architectures
Consumer electronics products, such as high-end (digital) TVs, contain complex systems on chip (SOC) that offer high computational performance at low cost. Traditionally, these SO...
Frits Steenhof, Harry Duque, Björn Nilsson, K...