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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2007
113views more  BMCBI 2007»
14 years 9 months ago
Learning biophysically-motivated parameters for alpha helix prediction
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...
Blaise Gassend, Charles W. O'Donnell, William Thie...
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 1 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
DCC
2002
IEEE
15 years 9 months ago
Globally Optimal Uneven Error-Protected Packetization of Scalable Code Streams
In this paper, we present a family of new algorithms for rate-fidelity optimal packetization of scalable source bit streams with uneven error protection. In the most general settin...
Sorina Dumitrescu, Xiaolin Wu, Zhe Wang
IJPRAI
2010
151views more  IJPRAI 2010»
14 years 8 months ago
Structure-Embedded AUC-SVM
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...
Yunyun Wang, Songcan Chen, Hui Xue
76
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BMCBI
2007
114views more  BMCBI 2007»
14 years 9 months ago
Combination of scoring schemes for protein docking
Background: Docking algorithms are developed to predict in which orientation two proteins are likely to bind under natural conditions. The currently used methods usually consist o...
Philipp Heuser, Dietmar Schomburg