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Now showing items 11-20 of 22
Variants of Hegselmann-Krause Model
(2017-12-04)
The Hegselmann-Krause system (HK system for short) is one of the most popular models for the dynamics of opinion formation in multi agent systems. Agents are modeled as points in opinion space, and at every time step, each ...
A GPU Accelerated Tensor Spectral Method for Subspace Clustering
(2017-11-30)
In this thesis we consider the problem of clustering the data lying in a union of subspaces using spectral methods. Though the data generated may have high dimensionality, in many of the applications, such as motion ...
Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources
(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 ...
Identifying Method Memoization Opportunities in Java Programs
(2017-12-13)
Memorization of a method is a commonly used re-factoring wherein developer modules the code of a method to save return values for some or all incoming parameter values. Whenever a parameter-tuple is received for the second ...
Resolving the Complexity of Some Fundamental Problems in Computational Social Choice
(2017-12-16)
In many real world situations, especially involving multiagent systems and artificial intelligence, participating agents often need to agree upon a common alternative even if they have differing preferences over the available ...
Plan Bouquets : An Exploratory Approach to Robust Query Processing
(2017-09-26)
Over the last four decades, relational database systems, with their mathematical basis in first-order logic, have provided a congenial and efficient environment to handle enterprise data during its entire life cycle of ...
Model-Checking Infinite-State Systems For Information Flow Security Properties
(2017-02-16)
Information flow properties are away of specifying security properties of systems ,dating back to the work of Goguen and Meseguer in the eighties. In this framework ,a system is modeled as having high-level (or confidential)events ...
Automatic Data Allocation, Buffer Management And Data Movement For Multi-GPU Machines
(2017-05-24)
Multi-GPU machines are being increasingly used in high performance computing. These machines are being used both as standalone work stations to run computations on medium to large data sizes (tens of gigabytes) and as a ...
Retweet Profiling - Study Dissemination of Twitter Messages
(2017-09-23)
Social media has become an important means of everyday communication. It is a mechanism for “sharing” and “resharing” of information. While social network platforms provide the means to users for resharing/reblogging (aka ...
Provable Methods for Non-negative Matrix Factorization
(2017-10-31)
Nonnegative matrix factorization (NMF) is an important data-analysis problem which concerns factoring a given d n matrix A with nonnegative entries into matrices B and C where B and C are d k and k n with nonnegative ...