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    • Computer Science and Automation (CSA)
    • Browsing Computer Science and Automation (CSA) by Title
    •   etd@IISc
    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Computer Science and Automation (CSA)
    • Browsing Computer Science and Automation (CSA) by Title
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    Browsing Computer Science and Automation (CSA) by Title

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    Now showing items 245-264 of 394

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      • Modeling and Adaptive Scheduling Strategies for Distributed Graph Algorithms 

        Dindokar, Ravikant Devidas
        Graph processing at scales of millions-billions of vertices and edges has become common to solve real-world problems in domains like social networks, smart cities and genomics. Distributed "Big Data" platforms for graph ...
      • Modeling and verification of database-accessing applications 

        Chawla, Geetam
        Databases are central to the functioning of most IT-enabled processes and services. In many domains, databases are accessed and updated via applications written in general-purpose lan- guages, as such applications need ...
      • Modelling The Acoustics Of The Vocal Tract Using Phase-Integral Theory 

        Bhattacharya, Sukumar (2012-05-03)
      • Module Grobner Bases Over Fields With Valuation 

        Sen, Aritra (2017-07-12)
        Tropical geometry is an area of mathematics that interfaces algebraic geometry and combinatorics. The main object of study in tropical geometry is the tropical variety, which is the combinatorial counterpart of a classical ...
      • Morse-Smale Complexes : Computation and Applications 

        Shivashankar, Nithin (2018-01-30)
        In recent decades, scientific data has become available in increasing sizes and precision. Therefore techniques to analyze and summarize the ever increasing datasets are of vital importance. A common form of scientific ...
      • MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning 

        Ajith, S
        In the modern era of computing, machine learning tools have demonstrated their potential in vital sectors, such as healthcare and finance, to derive proper inferences. The sensitive and confidential nature of the data in ...
      • Multi-Armed Bandits – On Range Searching and On Slowly-varying Non-stationarity 

        Ramakrishnan, K
        Multi-Armed Bandits (MAB) is a popular framework for modelling sequential decision-making problems under uncertainty. This thesis is a compilation of two independent works on MABs. 1. In the first work, we study a ...
      • 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 ...
      • Multilingual Information Processing On Relaltional Database Architectures 

        Kumaran, A (2011-10-24)
      • Multimodal Deep Learning for Multi-Label Classification and Ranking Problems 

        Dubey, Abhishek (2018-06-11)
        In recent years, deep neural network models have shown to outperform many state of the art algorithms. The reason for this is, unsupervised pretraining with multi-layered deep neural networks have shown to learn better ...
      • A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions 

        Kannan, Ramakrishnan
        The on-line advertising market involving displaying of Ads against search results by a search engine is growing at a fast rate. A majority of the search engine companies sell their advertising space through auctions which ...
      • Near-Duplicate Detection Using Instance Level Constraints 

        Patel, Vishal (2011-08-09)
        For the task of near-duplicate document detection, comparison approaches based on bag-of-words used in information retrieval community are not sufficiently accurate. This work presents novel approach when instance-level ...
      • Network Centrality Measures And Their Applications 

        Sudarshan, S R (2014-03-03)
        Study of complex networks by researchers from many disciplines has provided penetrating insights on various complex systems. A study of the world wide web from a network theoretic perspective has led to the design of new ...
      • Neural Approaches for Natural Language Query Answering over Source Code 

        Mandal, Madhurima
        During software development, developers need to ensure that the developed code is bug-free and the best coding practices are followed during the code development process. To guarantee this, the developers require answers ...
      • Neural Models for Personalized Recommendation Systems with External Information 

        Vijaikumar, M
        Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products ...
      • A New Algorithm For Linear Tree Pattern Matching 

        Yuvaraj, Athur Raghuvir (2012-05-03)
      • New Algorithmic and Hardness Results in Learning, Error Correcting Codes and Constraint Satisfaction Problems 

        Ghoshal, Suprovat
        Approximation algorithms are a natural way to deal with the intractability barrier that is inherent in many naturally arising computational problems. However, it is often the case that the task of solving the approximation ...
      • New Approaches And Experimental Studies On - Alegebraic Attacks On Stream Ciphers 

        Pillai, N Rajesh (2015-02-05)
        Algebraic attacks constitute an effective class of cryptanalytic attacks which have come up recently. In algebraic attacks, the relations between the input, output and the key are expressed as a system of equations and ...
      • New Methods for Learning from Heterogeneous and Strategic Agents 

        Divya, Padmanabhan (2018-05-21)
        1 Introduction In this doctoral thesis, we address several representative problems that arise in the context of learning from multiple heterogeneous agents. These problems are relevant to many modern applications such as ...
      • New Models and Methods for Formation and Analysis of Social Networks 

        Dhamal, Swapnil
        Social networks are an inseparable part of human lives, and play a major role in a wide range of activities in our day-to-day as well as long-term lives. The rapid growth of online social networks has enabled people to ...

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