Blar i AURA på forfatter "Thomas, A."
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"Anti-Bayesian" parametric pattern classification using order statistics criteria for some members of the exponential family
Oommen, B. John; Thomas, A. (Journal article; Peer reviewed, 2013)This paper submits a comprehensive report of the use of order statistics (OS) for parametric pattern recognition (PR) for various distributions within the exponential family. Although the field of parametric PR has been ... -
Optimal “anti-Bayesian” parametric pattern classification for the exponential family using Order Statistics criteria
Thomas, A.; Oommen, B. John (Lecture Notes in Computer Science;7324, Chapter; Peer reviewed, 2012)This paper reports some pioneering results in which optimal parametric classification is achieved in a counter-intuitive manner, quite opposed to the Bayesian paradigm. The paper, which builds on the results of [1], ... -
Optimal “anti-Bayesian” parametric pattern classification using Order Statistics criteria
Thomas, A.; Oommen, B. John (Lecture Notes in Computer Science;7441, Chapter; Peer reviewed, 2012)The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature ... -
The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria
Thomas, A.; Oommen, B. John (Journal article; Peer reviewed, 2013)The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature ...