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The research aims to develop an automatic Question Answering system, in particular Why and How questions, on community web-boards to support ordinary people in preliminary diagnosis and problem solving, such as plant disease problems. The research includes two main problems: Why and How question identification and Why and How answer determination, where Why and How questions are based on explanations...
This research aim to determine the explanation knowledge boundary for improvement of basic diagnosis. This paper compares different machine learning techniques including Maximum Entropy, Bayesian Networks, and Naive Bayes for solving the boundary determination problems of the discourse marker's connection problem, usage of several discourse markers within the boundary, and implicit discourse marker...
Based on the medical image detection after segmentation, the features from each domain such as spatial, texture, spectral domain have been extracted for detection. With no regard to other unknown features, these features are sometime redundant. This paper proposes a factor analysis for a reduction features procedure and constructs ways to fulfill good detection by using an optimal features set.
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