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TNN
2010
234views Management» more  TNN 2010»
13 years 24 days 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
ICASSP
2011
IEEE
12 years 9 months ago
Real-time conjugate gradients for online fMRI classification
Real-time functional magnetic resonance imaging (rtfMRI) enables classification of brain activity during data collection thus making inference results accessible to both the subj...
Hao Xu, Yongxin Taylor Xi, Ray Lee, Peter J. Ramad...
BMCBI
2011
12 years 9 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
ACMSE
2011
ACM
12 years 6 months ago
Integrating digital logic design and assembly programming using FPGAs in the classroom
Rising Field Programmable Gate Array (FPGA) market volumes combined with increasing industrial popularity have driven prices down and improved capability to the point that FPGA ha...
William M. Jones, D. Brian Larkins
ASIACRYPT
2011
Springer
12 years 6 months ago
The Leakage-Resilience Limit of a Computational Problem Is Equal to Its Unpredictability Entropy
A cryptographic assumption is the (unproven) mathematical statement that a certain computational problem (e.g. factoring integers) is computationally hard. The leakage-resilience l...
Divesh Aggarwal, Ueli Maurer