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» Disease Modeling Using Evolved Discriminate Function
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BMCBI
2006
190views more  BMCBI 2006»
15 years 2 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
16 years 2 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»
15 years 7 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
16 years 2 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
15 years 3 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