## Abstract In this article we present a semiβsupervised active learning algorithm for pattern discovery in information extraction from textual data. The patterns are reduced regular expressions composed of various characteristics of features useful in information extraction. Our major contribution
β¦ LIBER β¦
A neural network algorithm for semi-supervised node label learning from unbalanced data
β Scribed by Frasca, Marco; Bertoni, Alberto; Re, Matteo; Valentini, Giorgio
- Book ID
- 118737723
- Publisher
- Elsevier Science
- Year
- 2013
- Tongue
- English
- Weight
- 604 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0893-6080
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This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998. The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissi