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DT
2006
98views more  DT 2006»
14 years 9 months ago
Handling variations and uncertainties
The widely used engineering decisions concerning the performance of technological equipment for process industries are usually deterministic. Since the early 1990s probabilistic m...
Tim Cheng
BMCBI
2010
136views more  BMCBI 2010»
14 years 9 months ago
SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale
Background: An important problem in genomics is the automatic inference of groups of homologous proteins from pairwise sequence similarities. Several approaches have been proposed...
Tamás Nepusz, Rajkumar Sasidharan, Alberto ...
BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
CVPR
2005
IEEE
15 years 11 months ago
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...
ICCAD
2004
IEEE
191views Hardware» more  ICCAD 2004»
15 years 6 months ago
Checking consistency of C and Verilog using predicate abstraction and induction
edicate Abstraction and Induction Edmund Clarke Daniel Kroening June 25, 2004 CMU-CS-04-131 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 It is common...
Daniel Kroening, Edmund M. Clarke