Extending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training Data
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_050655.pdf
Reference43 articles.
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3. A. Basavanhally, S. Viswanath, A. Madabhushi, "Predicting classifier performance with limited training data: Applications to computer-aided diagnosis in breast and prostate cancer," PLoS ONE, 10(5), 1-18, 2015, DOI:10.1371/journal.pone.0117900.
4. V.K. Vijayan, K.R. Bindu, L. Parameswaran, "A comprehensive study of text classification algorithms," 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, 2017-Janua, 1109-1113, 2017, DOI:10.1109/ICACCI.2017.8125990
5. G. Forman, I. Cohen, "Learning from little: Comparison of classifiers given little training," Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3202, 161-172, 2004, DOI:10.1007/978-3-540-30116-5_17.
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