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    Browsing Computer Science and Automation (CSA) by Advisor 
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    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Computer Science and Automation (CSA)
    • Browsing Computer Science and Automation (CSA) by Advisor
    •   etd@IISc
    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Computer Science and Automation (CSA)
    • Browsing Computer Science and Automation (CSA) by Advisor
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    Browsing Computer Science and Automation (CSA) by Advisor "Agarwal, Shivani"

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      • Bayes Optimal Feature Selection for Supervised Learning 

        Saneem Ahmed, C G (2018-02-18)
        The problem of feature selection is critical in several areas of machine learning and data analysis such as, for example, cancer classification using gene expression data, text categorization, etc. In this work, we consider ...
      • Design and Analysis of Consistent Algorithms for Multiclass Learning Problems 

        Harish, Guruprasad Ramaswami (2018-08-14)
        We consider the broad framework of supervised learning, where one gets examples of objects together with some labels (such as tissue samples labeled as cancerous or non-cancerous, or images of handwritten digits labeled ...
      • Learning Tournament Solutions from Preference-based Multi-Armed Bandits 

        Siddartha, Y R
        We consider the dueling bandits problem, a sequential decision task where the goal is to learn to pick `good' arms out of an available pool by actively querying for and observing relative preferences between selected pairs ...
      • Learning with Complex Performance Measures : Theory, Algorithms and Applications 

        Narasimhan, Harikrishna (2017-12-07)
        We consider supervised learning problems, where one is given objects with labels, and the goal is to learn a model that can make accurate predictions on new objects. These problems abound in applications, ranging from ...
      • Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources 

        Laha, Anirban (2017-12-05)
        Gene prioritization involves ranking genes by possible relevance to a disease of interest. This is important in order to narrow down the set of genes to be investigated biologically, and over the years, several computational ...
      • Ranking from Pairwise Comparisons : The Role of the Pairwise Preference Matrix 

        Rajkumar, Arun (2018-07-05)
        Ranking a set of candidates or items from pair-wise comparisons is a fundamental problem that arises in many settings such as elections, recommendation systems, sports team rankings, document rankings and so on. Indeed it ...

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