منابع مشابه
Pruning Training Corpus to Speedup Text Classification1
With the rapid growth of online text information, efficient text classification has become one of the key techniques for organizing and processing text repositories. In this paper, an efficient text classification approach was proposed based on pruning training-corpus. By using the proposed approach, noisy and superfluous documents in training corpuses can be cut off drastically, which leads to...
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Designing a feed-forward neural network with optimal topology in terms of complexity (hidden layer nodes and connections between nodes) and training performance has been a matter of considerable concern since the very beginning of neural networks research. Typically, this issue is dealt with by pruning a fully interconnected network with “many” nodes in the hidden layers, eliminating “superfluo...
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A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noisy patterns that belonging to one class are labelled as members of another. This allows classifier construction to focus on borderline patterns, likely to be the most informative ones. To appropriately define the abov...
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ژورنال
عنوان ژورنال: HortScience
سال: 1990
ISSN: 0018-5345,2327-9834
DOI: 10.21273/hortsci.25.9.1100f