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Now showing items 81-90 of 195
A Novel Game Theoretic And Voting Mechanism Based Approach For Carbon Emissions Reduction
(2014-08-07)
Global warming is currently a major challenge facing the world. There are widespread ongoing efforts in the form of summits, conferences, etc., to find satisfactory ways of surmounting this challenge. The basic objective ...
Generalizations Of The Popular Matching Problem
(2013-07-02)
Matching problems arise in several real-world scenarios like assigning posts to applicants, houses to trainees and room-mates to one another. In this thesis we consider the bipartite matching problem where one side of the ...
Sparse Multiclass And Multi-Label Classifier Design For Faster Inference
(2013-06-20)
Many real-world problems like hand-written digit recognition or semantic scene classification are treated as multiclass or multi-label classification prob-lems. Solutions to these problems using support vector machines (SVMs) ...
On The Complexity Of Grobner Basis And Border Basis Detection
(2013-06-14)
The theory of Grobner bases has garnered the interests of a large number of researchers in computational algebra due to its applications not only in mathematics but also in areas like control systems, robotics, cryptography ...
On A Cubic Sieve Congruence Related To The Discrete Logarithm Problem
(2013-05-21)
There has been a rapid increase interest in computational number theory ever since the invention of public-key cryptography. Various attempts to solve the underlying hard problems behind public-key cryptosystems has led ...
Compiler-Assisted Energy Optimization For Clustered VLIW Processors
(2010-04-13)
Clustered architecture processors are preferred for embedded systems because centralized register file architectures scale poorly in terms of clock rate, chip area, and power consumption. Although clustering helps by ...
An Improved Lower Bound for Depth four Arithmetic Circuits
(2018-05-29)
We study the problem of proving lower bounds for depth four arithmetic circuits. Depth four circuits have been receiving much attraction when it comes to recent circuit lower bound results, as a result of the series of ...
Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings
(2018-05-30)
Optimization is a very important field with diverse applications in physical, social and biological sciences and in various areas of engineering. It appears widely in ma-chine learning, information retrieval, regression, ...