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The effectiveness of ten different feature sets in classification of voice recordings of the sustained phonation of the vowel sound /a/ into a healthy and pathological classes is investigated as well as a new approach to building a sequential committee of support vector machines (SVM) for the classification is proposed. The optimal values of hyper-parameters of the committee and the feature set...

There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effective algorithms in this domain succeed by combining a number of distinct predictive elements to form what can be described as a type of committee. Well known examples of such algorithms are AdaBoost, bagging and random f...

Ten years ago Eurotra was just an idea discussed in an expert committee created by the Commission. After scanning the market in order to find a suitable MT system the members had realised that all available operational systems were American and based on a ten-year-old state-of-the-art in linguistics and computer science. In consequence, it seemed like a good idea to try to produce a European MT...

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MULTI-HEURISTIC THEORY ASSESSMENT WITH ITERATIVE SELECTION by Kareem Ammar Chairperson of the Supervisory Committee: Professor Tim Menzies Department of Computer Science and Electrical Engineering Modern day machine learning is not without its shortcomings. To start with, the heuristic accuracy, which is the standard assessment criteria for machine learning, is not always the best heuristic to ...

Protein fold classification is essential to recognition of protein tertiary structure. It is of particular interest to the structure analyses of proteins of low sequence identity with respect to proteins of known structures. We investigated the protein fold recognition problem with the Committee Support Vector Machine (CSVM) that proved efficient and effective in feature parameterization of bac...