Unanimous Voting Using Support Vector Machines

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Unanimous Voting using Support Vector Machines Request PDF

    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 ...

Unanimous Voting using Support Vector Machines

    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 …

Unanimous Voting using Support Vector Machines - CiteSeerX

    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.

Unanimous Voting using Support Vector Machines - CORE

    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.

Connectionist Bench (Sonar, Mines vs. Rocks) Data Set

    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 ...

UCI Machine Learning Repository: Hepatitis Data Set

    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 ...

Georgi I. Nalbantov PhD - ResearchGate

    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 ...

(PDF) Version Space Support Vector Machines Georgi ...

    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).

CiteSeerX — Version space support vector machines

    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).

Generalizing Version Space Support Vector Machines for Non ...

    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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