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» An fMRI Activation Method Using Complex Data
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MICAI
2004
Springer
15 years 5 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
BMCBI
2010
102views more  BMCBI 2010»
14 years 12 months ago
SAMPLEX: Automatic mapping of perturbed and unperturbed regions of proteins and complexes
Background: The activity of proteins within the cell is characterized by their motions, flexibility, interactions or even the particularly intriguing case of partially unfolded st...
Mickaël Krzeminski, Karine Loth, Rolf Boelens...
DCC
2006
IEEE
15 years 11 months ago
Low-Complexity Compression of Short Messages
We describe a low-complexity scheme for lossless compression of short text messages. The method uses arithmetic coding and a specific statistical context model for prediction of s...
Stephan Rein, Clemens Gühmann, Frank H. P. Fi...
RAS
2010
164views more  RAS 2010»
14 years 10 months ago
Towards performing everyday manipulation activities
This article investigates fundamental issues in scaling autonomous personal robots towards open-ended sets of everyday manipulation tasks which involve high complexity and vague j...
Michael Beetz, Dominik Jain, Lorenz Mösenlech...
BMCBI
2008
166views more  BMCBI 2008»
14 years 12 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf