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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, ...
Discovery Of Application Workloads From Network File Traces
(2011-05-19)
An understanding of Input/Output data access patterns of applications is useful in several situations. First, gaining an insight into what applications are doing with their data at a semantic level helps in designing ...
Analysing Message Sequence Graph Specifications
(2011-03-29)
Message Sequence Charts are a visual representation of the system specification which shows how all the participating processes are interacting with each other. Message Sequence Graphs provide modularity by easily allowing ...
Generalization of Hitting, Covering and Packing Problems on Intervals
(2018-05-29)
Interval graphs are well studied structures. Intervals can represent resources like jobs to be sched-uled. Finding maximum independent set in interval graphs would correspond to scheduling maximum number of non-conflicting ...
Using Explicit State Space Enumeration For Specification Based Regression Testing
(2010-07-08)
Regression testing of an evolving software system may involve significant challenges. While, there would be a requirement of maximising the probability of finding out if the latest changes to the system has broken some ...
Compiler Assisted Energy Management For Sensor Network Nodes
(2010-08-16)
Emerging low power, embedded, wireless sensor devices are useful for wide range of applications, yet have very limited processing storage and especially energy resources. Sensor networks have a wide variety of applications ...
Learning Algorithms Using Chance-Constrained Programs
(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 ...