Improved time complexities for learning boolean networks
Existing algorithms for learning Boolean networks (BNs) have time complexities of at least O(N · n0:7(k+1)), where n is the number of variables, N is the number of samples and k is the number of inputs in Boolean functions. Some recent studies propose more efficient methods with O(N · n2) time compl...
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Main Authors: | Zheng, Yun., Kwoh, Chee Keong. |
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Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2014
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/101312 http://hdl.handle.net/10220/18392 |
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Institution: | Nanyang Technological University |
Language: | English |
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