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Belief Propagation and Algorithms for Mean-Field Combinatorial Optimisations
(2017-11-15)
We study combinatorial optimization problems on graphs in the mean-field model, which assigns independent and identically distributed random weights to the edges of the graph. Specifically, we focus on two generalizations ...
Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations
(2013-07-03)
Leakage current and process variations are two primary hurdles in modern VLSI design. It depends exponentially on process and environmental parameters and hence small variations in these result in a large spread in leakage ...
Anonymity With Authenticity
(2014-09-02)
Cryptography is science of secure message transmission. Cryptanalysis is involved with breaking these encrypted messages. Both cryptography and cryptanalysis constitute together to form cryptology.
Anonymity means ...
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 ...