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AMC
2006
67views more  AMC 2006»
13 years 6 months ago
A general probabilistic model of the PCR process
Earlier work by Saha et al. rigorously derived a general probabilistic model for the PCR process that includes as a special case the Velikanov-Kapral model where all nucleotide re...
Nilanjan Saha, Layne T. Watson, Karen Kafadar, Ale...
NIPS
1993
13 years 7 months ago
Surface Learning with Applications to Lipreading
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Christoph Bregler, Stephen M. Omohundro
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
14 years 20 days ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
BMCBI
2008
99views more  BMCBI 2008»
13 years 6 months ago
A new real-time PCR method to overcome significant quantitative inaccuracy due to slight amplification inhibition
Background: Real-time PCR analysis is a sensitive DNA quantification technique that has recently gained considerable attention in biotechnology, microbiology and molecular diagnos...
Michele Guescini, Davide Sisti, Marco B. L. Rocchi...