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Hard Drive Failure Prediction : A Rule Based Approach
(2011-07-12)
The ability to accurately predict an impending hard disk failure is important for reliable storage system design. The facility provided by most hard drive manufacturers, called S.M.A.R.T. (self-monitoring, analysis and ...
Large Scale Graph Processing in a Distributed Environment
(2018-05-25)
Graph algorithms are ubiquitously used across domains. They exhibit parallelism, which can be exploited on parallel architectures, such as multi-core processors and accelerators. However, real world graphs are massive in ...
Near-Duplicate Detection Using Instance Level Constraints
(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 ...
Architecture Descriptions for Retargetable Code Translation
(Indian Institute of Science, 2005-03-14)
The study of architectural parameterization has long neglected other parameterizations in favour of code selector descriptions.
In this dissertation, we are concerned with providing linguistic notations for modelling ...
Non-Parametric Clustering of Multivariate Count Data
(2018-05-23)
The focus of this thesis is models for non-parametric clustering of multivariate count data. While there has been significant work in Bayesian non-parametric modelling in the last decade, in the context of mixture models ...
Design of Quality Assuring Mechanisms with Learning for Strategic Crowds
(2018-05-23)
In this thesis, we address several generic problems concerned with procurement of tasks from a crowd that consists of strategic workers with uncertainty in their qualities. These problems assume importance as the quality ...
Scalable Sprase Bayesian Nonparametric and Matrix Tri-factorization Models for Text Mining Applications
(2018-05-23)
Hierarchical Bayesian Models and Matrix factorization methods provide an unsupervised way to learn latent components of data from the grouped or sequence data. For example, in document data, latent component corn-responds ...
A Study of Thompson Sampling Approach for the Sleeping Multi-Armed Bandit Problem
(2018-05-29)
The multi-armed bandit (MAB) problem provides a convenient abstraction for many online decision problems arising in modern applications including Internet display advertising, crowdsourcing, online procurement, smart grids, ...