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Bayes Optimal Feature Selection for Supervised Learning
(2018-02-18)
The problem of feature selection is critical in several areas of machine learning and data analysis such as, for example, cancer classification using gene expression data, text categorization, etc. In this work, we consider ...
Knowledge Representation Framework For A Web-based Intelligent Tutoring System For Engineering Courses
(2010-10-08)
Tutoring is one of the most effective instruction methods. Computer as an Intelligent Tutor is an area of research since many decades. Technology advancement in Information and Communication Technology (ICT) can be used ...
Pricing Network Resources : A New Perspective
(2011-02-25)
The aim of the work is to examine the issue of pricing network resources so as to ensure fair and efficient resource-sharing among users. The basic question we address is: Do there exist simple pricing schemes such that ...
Scaling Context-Sensitive Points-To Analysis
(2014-05-06)
Pointer analysis is one of the key static analyses during compilation. The efficiency of several compiler optimizations and transformations depends directly on the scalability and precision of the underlying pointer analysis. ...
Low Power Test Methodology For SoCs : Solutions For Peak Power Minimization
(2013-09-13)
Power dissipated during scan testing is becoming increasingly important for today’s very complex sequential circuits. It is shown that the power dissipated during test mode operation is in general higher than the power ...
Cluster Identification : Topic Models, Matrix Factorization And Concept Association Networks
(2013-09-17)
The problem of identifying clusters arising in the context of topic models and related approaches is important in the area of machine learning. The problem concerning traversals on Concept Association Networks is of great ...