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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 2 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
SENSYS
2010
ACM
14 years 7 months ago
The Jigsaw continuous sensing engine for mobile phone applications
Supporting continuous sensing applications on mobile phones is challenging because of the resource demands of long-term sensing, inference and communication algorithms. We present...
Hong Lu, Jun Yang, Zhigang Liu, Nicholas D. Lane, ...
BMCBI
2008
129views more  BMCBI 2008»
14 years 10 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
INFOCOM
2007
IEEE
15 years 4 months ago
Tradeoff Between Lifetime and Rate Allocation in Wireless Sensor Networks: A Cross Layer Approach
— This paper studies the tradeoff between energy consumption and application performance in wireless sensor networks by investigating the interaction between network lifetime max...
Junhua Zhu, Shan Chen, Brahim Bensaou, Ka-Lok Hung
CORR
2010
Springer
146views Education» more  CORR 2010»
14 years 10 months ago
Active Learning for Hidden Attributes in Networks
In many networks, vertices have hidden attributes that are correlated with the network's topology. For instance, in social networks, people are more likely to be friends if t...
Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, C...