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    Deep Learning with Minimal Supervision 

    Pandey, Gaurav
    Abstract In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision ...

    Studies In Automatic Management Of Storage Systems 

    Pipada, Pankaj (2015-11-16)
    Autonomic management is important in storage systems and the space of autonomics in storage systems is vast. Such autonomic management systems can employ a variety of techniques depending upon the specific problem. In this ...

    Learning Robust Support Vector Machine Classifiers With Uncertain Observations 

    Bhadra, Sahely (2015-08-19)
    The central theme of the thesis is to study linear and non linear SVM formulations in the presence of uncertain observations. The main contribution of this thesis is to derive robust classfiers from partial knowledge of ...

    Cluster Identification : Topic Models, Matrix Factorization And Concept Association Networks 

    Arun, R (2013-09-17)
    The problem of identifying clusters arising in the context of topic models and related approaches is important in the area of machine learning. The problem concerning traversals on Concept Association Networks is of great ...

    Solution Of Delayed Reinforcement Learning Problems Having Continuous Action Spaces 

    Ravindran, B (2012-05-29)

    Sparse Multiclass And Multi-Label Classifier Design For Faster Inference 

    Bapat, Tanuja (2013-06-20)
    Many real-world problems like hand-written digit recognition or semantic scene classification are treated as multiclass or multi-label classification prob-lems. Solutions to these problems using support vector machines (SVMs) ...

    Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings 

    Joseph, Ajin George (2018-05-30)
    Optimization is a very important field with diverse applications in physical, social and biological sciences and in various areas of engineering. It appears widely in ma-chine learning, information retrieval, regression, ...

    Learning Algorithms Using Chance-Constrained Programs 

    Jagarlapudi, Saketha Nath (2010-07-08)
    This thesis explores Chance-Constrained Programming (CCP) in the context of learning. It is shown that chance-constraint approaches lead to improved algorithms for three important learning problems — classification with ...

    Efficient Kernel Methods For Large Scale Classification 

    Asharaf, S (2011-02-22)
    Classification algorithms have been widely used in many application domains. Most of these domains deal with massive collection of data and hence demand classification algorithms that scale well with the size of the data ...

    Multi-label Classification with Multiple Label Correlation Orders And Structures 

    Posinasetty, Anusha (2018-06-18)
    Multilabel classification has attracted much interest in recent times due to the wide applicability of the problem and the challenges involved in learning a classifier for multilabeled data. A crucial aspect of multilabel ...
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    AuthorArun, R (1)Arvind, M T (1)Asharaf, S (1)Bapat, Tanuja (1)Bhadra, Sahely (1)Bhattacharya, Indranil (1)Harish, Guruprasad Ramaswami (1)Jagarlapudi, Saketha Nath (1)Joseph, Ajin George (1)Pandey, Gaurav (1)... View MoreSubject
    Computer Science (15)
    Machine Learning (15)
    Learning Algorithms (2)Learning Automata (2)Multiclass Classification (2)Non-negative Matrix Factorization (NMF) (2)Reinforcement Learning (2)Support Vector Machine (SVM) (2)Adaptive Control Systems (1)Adaptive Storage Management (1)... View MoreDate Issued2018 (4)2012 (3)2013 (2)2015 (2)2010 (1)2011 (1)2017 (1)Has File(s)Yes (15)

    etd@IISc is a joint service of SERC & J R D Tata Memorial (JRDTML) Library || Powered by DSpace software || DuraSpace
    Contact Us | Send Feedback | Thesis Templates
    Theme by 
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