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ENTCS
2007
134views more  ENTCS 2007»
13 years 8 months ago
Improving the Decompilation of Java Bytecode to Prolog by Partial Evaluation
The interpretative approach to compilation allows compiling programs by partially evaluating an interpreter w.r.t. a source program. This approach, though very attractive in princ...
Miguel Gómez-Zamalloa, Elvira Albert, Germ&...
CVPR
2005
IEEE
14 years 10 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...
BMCBI
2008
104views more  BMCBI 2008»
13 years 8 months ago
ReRep: Computational detection of repetitive sequences in genome survey sequences (GSS)
Background: Genome survey sequences (GSS) offer a preliminary global view of a genome since, unlike ESTs, they cover coding as well as non-coding DNA and include repetitive region...
Thomas D. Otto, Leonardo H. F. Gomes, Marcelo Alve...
FMCAD
2008
Springer
13 years 10 months ago
Automatic Non-Interference Lemmas for Parameterized Model Checking
Parameterized model checking refers to any method that extends traditional, finite-state model checking to handle systems arbitrary number of processes. One popular approach to thi...
Jesse D. Bingham
ESANN
2006
13 years 10 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...