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» On the Information Rate of the Plenoptic Function
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69
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BC
2008
67views more  BC 2008»
15 years 25 days ago
Information transmission in oscillatory neural activity
Periodic neural activity not locked to the stimulus or to motor responses is usually ignored. Here, we present newtoolsformodelingandquantifyingtheinformationtransmission based on ...
Kilian Koepsell, Friedrich T. Sommer
85
Voted
CIBCB
2007
IEEE
15 years 7 months ago
Motifs and Modules in Fractured Functional Yeast Networks
The integration of diverse data sets into probabilistic functional networks is an active and important area of research in systems biology. In this paper we fracture a previously p...
Jennifer Hallinan, Anil Wipat
99
Voted
BMCBI
2007
183views more  BMCBI 2007»
15 years 25 days ago
Considerations in the identification of functional RNA structural elements in genomic alignments
Background: Accurate identification of novel, functional noncoding (nc) RNA features in genome sequence has proven more difficult than for exons. Current algorithms identify and s...
Tomas Babak, Benjamin J. Blencowe, Timothy R. Hugh...
88
Voted
IJCNN
2006
IEEE
15 years 6 months ago
High-speed Bi-directional Function Approximation using Plausible Neural Networks
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
14 years 10 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang