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https://www.researchgate.net/publication/30469957_Unanimous_Voting_using_Support_Vector_Machines
In this section we illustrate our findings from sections 4 and 5 using the example of version space support vector machines (VSSVM) (Smirnov et al., 2004). VSSVM are a new approach to ...
http://www.socsci.ru.nl/idak/publications/papers/bnaic2004.pdf
Our implementation of the unanimous-voting rule tests whether version spaces are empty in the hypothesis space. Testing is realized via support vector machines (SVM) [12]. Therefore, our approach is a combination of the two learning schemes and it is called …
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.7596
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper proposes a new approach to classification reliability. The key idea is to maintain version spaces containing (close approximations of) the target classifiers. In this way the unanimous-voting rule applied on these version spaces outputs reliable instance classifications.
http://core.ac.uk/display/12858444
In this way the unanimous-voting rule applied on these version spaces outputs reliable instance classifications. Version spaces are defined in a hypothesis space of oriented hyperplanes. The unanimous-voting rule is implemented by testing whether version spaces are empty. Testing is done by support vector machines.
https://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Sonar%2C+Mines+vs.+Rocks%29
Unanimous Voting using Support Vector Machines. IKAT, Universiteit Maastricht. [View Context]. Alain Rakotomamonjy. Leave-One-Out errors in Bipartite Ranking SVM. PSI CNRS FRE2645 INSA de Rouen Avenue de l'universite. [View Context]. Hiroshi Shimodaira and Jun Okui and Mitsuru Nakai. IMPROVING THE GENERALIZATION PERFORMANCE OF THE MCE/GPD ...
https://archive.ics.uci.edu/ml/datasets/Hepatitis
Classification, Association and Pattern Completion using Neural Similarity Based Methods. Department of Computer Methods, Nicholas Copernicus University. [View Context]. Elena Smirnova and Ida G. Sprinkhuizen-Kuyper and I. Nalbantis and b. ERIM and Universiteit Rotterdam. Unanimous Voting using Support Vector Machines. IKAT, Universiteit ...
https://www.researchgate.net/profile/Georgi_Nalbantov
Implied posterior probability of a given model (say, Support Vector Machines (SVM)) at a point $\bf{x}$ is an estimate of the class posterior probability pertaining to the class of functions of ...
https://www.academia.edu/8361771/Version_Space_Support_Vector_Machines
The approach and VSs are realized using support vector Case 2: class noise. In this case the set I + (I − ) is a union machines (SVMs) [4]. The combination is called version space sup- of a noise-free set If+ (If− ) and a noisy set In+ (In− ). The port vector machines (VSSVMs).
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.1569
As a result the unanimous-voting classification rule of version spaces does not misclassify; i.e., instance classifications become reliable. We propose to implement version spaces using support vector machines. The resulting combination is called version space support vector machines (VSSVMs).
http://www.socsci.ru.nl/idak/publications/papers/NonSepVSSVM.pdf
Generalizing Version Space Support Vector Machines for Non-Separable Data E.N. Smirnov MICC-IKAT ... Although version space support vector machines (VSSVMs) are a successful approach to reliable classifica-tion [6], they are restricted to separable data. ... The unanimous-voting rule is implemented if …Cited by: 1
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