An Evaluation of Self-training Styles for Domain Adaptation on the Task of Splice Site Prediction-Reference-Cited by-同舟云学术

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An Evaluation of Self-training Styles for Domain Adaptation on the Task of Splice Site Prediction

Published:2015-08-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
language:
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Author:

Herndon Nic¹,Caragea Doina¹

Affiliation:

1. Kansas State University, Manhattan, KS 66506

Funder

National Institutes of Health

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2808797.2808809

Reference18 articles.

1. Global Discriminative Learning for Higher-Accuracy Computational Gene Prediction

2. Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning

3. Accurate splice site prediction using support vector machines

4. An introduction to kernel-based learning algorithms

5. Engineering support vector machine kernels that recognize translation initiation sites

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1. Domain adaptation for an automated classification of deontic modalities in software engineering contracts;Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2021-08-18

2. Disaster response aided by tweet classification with a domain adaptation approach;Journal of Contingencies and Crisis Management;2017-09-04

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