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» Disease Modeling Using Evolved Discriminate Function
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BMCBI
2006
190views more  BMCBI 2006»
13 years 10 months ago
SNPs3D: Candidate gene and SNP selection for association studies
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
Peng Yue, Eugene Melamud, John Moult
ICML
2003
IEEE
14 years 10 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 3 months ago
Evolving analog controllers for correcting thermoacoustic instability in real hardware
Previous research demonstrated that Evolvable Hardware (EH) techniques can be employed to suppress Thermoacoustic (TA) instability in a computer simulated combustion chamber. Thou...
Saranyan Vigraham, John C. Gallagher, Sanjay K. Bo...
ISBI
2002
IEEE
14 years 10 months ago
Statistical shape models for segmentation and structural analysis
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Guido Gerig, Martin Andreas Styner, Gábor S...
COLING
2008
13 years 11 months ago
Sentence Compression Beyond Word Deletion
In this paper we generalise the sentence compression task. Rather than simply shorten a sentence by deleting words or constituents, as in previous work, we rewrite it using additi...
Trevor Cohn, Mirella Lapata