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The exponential growth of text documents available on the Internet has created an urgent need for accurate, fast, and general purpose text classification algorithms. However, the "bag of words" representation used for these classification methods is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. In order to deal with this problem,...
In this paper, we propose a method for classifying textures using Genetic Programming (GP). Texture features are extracted from the energy of subimages of the wavelet decomposition. The GP is then used to evolve rules, which are arithmetic combinations of energy features, to identify whether a texture image belongs to certain class. Instead of using only one rule to discriminate the samples, a set...
Experts from different domains try to mine users' comments on Weblogs for different reasons such as politics or commerce. All these needs necessitate automatically distinguishing subjective Weblog contents from objective ones, namely subjectivity categorization. Since Weblogs contain various topics from different domains, limited training data can hardly cover all the topics and "unseen words"...
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