2 publications

  • Published Subscription

    A Parallel Online Learning Algorithm for Anisotropic Digital Image Restoration

    Abstract: Previously, in the computational scenarios where the training data has already been made available for the learning algorithm, the kernel based algorithm such as support vector machines have made significant advances in the machine learning field. Though there has been little advancement made in learning scenario at online settings to facilitate the various real-time applications at the user end. In this study we discussed the issues with the online learning …

    Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 21–26 Read article

  • Published Subscription

    A Survey of Online Learning Algorithm

    Abstract: Online learning is an active research area, which emerges in the last decade and has been considered as a subset of machine learning. Although, there is limited advancements has been made due to its high processing environment ultimately delaying its real-time applicability. In this study, we studied the various techniques with which the online learning algorithms have been able to successfully embark the results over the World Wide Web. It …

    Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 6–9 Read article

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