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TNN
2010
234views Management» more  TNN 2010»
13 years 4 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»
13 years 4 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
13 years 1 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
COMGEO
2011
ACM
13 years 1 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
13 years 1 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...