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TNN
2010
234views Management» more  TNN 2010»
14 years 10 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
TNN
2010
147views Management» more  TNN 2010»
14 years 10 months ago
Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks
In this paper we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph s...
J. Piersa, Filip Piekniewski, Tomasz Schreiber
BMCBI
2011
14 years 7 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
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COMGEO
2011
ACM
14 years 7 months ago
Physical world as an internet of things
ABSTRACT . Categories and Subject Descriptors K. Computing Milieux K.m MISCELLANEOUS General Terms Theory Keywords Cyber-physics, Internet of Things, Quantum computing Cloud Comput...
Simon Berkovich
INFOCOM
2011
IEEE
14 years 7 months ago
A high-throughput routing metric for reliable multicast in multi-rate wireless mesh networks
Abstract—We propose a routing metric for enabling highthroughput reliable multicast in multi-rate wireless mesh networks. This new multicast routing metric, called expected multi...
Xin Zhao, Jun Guo, Chun Tung Chou, Archan Misra, S...