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BC
2002
91views more  BC 2002»
15 years 4 months ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 10 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
CIKM
1998
Springer
15 years 9 months ago
Continual Computation Policies for Utility-Directed Prefetching
People accessing documents via the Internet typically experience latencies in retrieving content. We discuss continual-computation policies that dictate strategies for prefetching...
Eric Horvitz
RECOMB
2006
Springer
16 years 5 months ago
De Novo Signaling Pathway Predictions Based on Protein-Protein Interaction, Targeted Therapy and Protein Microarray Analysis
Abstract. Mapping intra-cellular signaling networks is a critical step in developing an understanding of and treatments for many devastating diseases. The predominant ways of disco...
Derek A. Ruths, Jen-Te Tseng, Luay Nakhleh, Prahla...
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BMCBI
2007
157views more  BMCBI 2007»
15 years 4 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...