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The Equilibrium between Varying Concentrations of Acids and Alkalies and the Proteins of the Serum and other Colloids, with a Discussion of the Nature of Colloidal Reaction or Adsorption. [PDF]
Biochem J, 1911 Moore B, Bigland AD.
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3D molecular models of whole HIV-1 virions generated with cellPACK.
Faraday Discuss, 2014 Johnson GT +5 more
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Abstracts : 32 nd Congress of the ESP and XXXIII International Congress of the IAP. [PDF]
Virchows Arch, 2020 europepmc +1 more source
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Separation via polyhedral conic functions
Optimization Methods and Software, 2006We consider the problem of discriminating between two finite point sets A and B in the n-dimensional space by using a special type of polyhedral function. An effective finite algorithm for finding a separating function based on iterative solutions of linear programming subproblems is suggested.
Rafail N. Gasimov, Gurkan Ozturk
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Arrhythmia Classification via k-Means Based Polyhedral Conic Functions Algorithm
2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016Heart disease is one of the important cause of death. In this study, we used ECG data obtained from MIT-BIH database to classify arrhythmias. We select 5 classes, normal beat (N), right bundle branch block (RBBB), left bundle branch block (LBBB), atrial premature contraction (APC) and ventricular premature contraction (VPC).
Emre Çimen, Gurkan Ozturk
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A polyhedral conic functions based embedded feature selection method
Optimization Eruditorumsemanticscholar +2 more sources
Max Margin Polyhedral Conic Function Classifier
2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016In classification problems, generalization ability has a key role for successful prediction. Well known Support Vector Machine classifier, tries to increase generalization ability via maximizing the margin, which is the distance between two parallel hyperplanes on the closest points.
Öztürk, Gürkan, Ceylan, Gurhan
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Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021This paper introduces a family of quasi-linear discriminants that outperform current large-margin methods in sliding window visual object detection and open set recognition tasks.
Hakan Cevikalp, Halil Saglamlar
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