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This document is about the accuracy analysis of two of the most prominent classifiers present in today's academic arena. Classifiers are being used extensively in machine learning applications today and need to present a high rate of success to be considered useful. Tikhonov regularization incorporated within the Ridge Classifier is the basis for its classification. It utilises the LevenbergMarquardt...
This paper proposes a new approach to locate software components from large component online open source repositories which encompasses the inherent features of context-aware browsing, ranking and semantic tagging. Tagging of individual components helps making search fast and efficient. We are trying to improvise the results of context aware browsing by ranking them on the basis of Hidden Markov Models...
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