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This paper proposes a new nonparametric regression method, based on the combination of generalized regression neural networks (GRNNs), density-dependent multiple kernel bandwidths, and regularization. The presented model is generic and substitutes the very large number of bandwidths with a much smaller number of trainable weights that control the regression model. It depends on sets of extracted data...
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"...
Soft sensors are especially required in lots of advanced process control applications. The ANN based soft sensor are widely studied recently. But the ANN is an uncertain method in nature. In view of the complexity of the industrial processes, the robustness is an important criterion to evaluate a model. The generalization capability is another factor to affect the applicability of a model. Aiming...
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