Information learning approach
Proposed a new approach, called information learning approach, to computational learning theory. Developed an algorithm, called discrete function learning algorithm, based on information learning approach. Applied the discrete function learning algorithm to learning qualitative models of gene regula...
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sg-ntu-dr.10356-24802020-11-10T08:42:28Z Information learning approach Zheng, Yun Kwoh Chee Keong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Proposed a new approach, called information learning approach, to computational learning theory. Developed an algorithm, called discrete function learning algorithm, based on information learning approach. Applied the discrete function learning algorithm to learning qualitative models of gene regulatory networks, solving classification problems, performing feature selection. DOCTOR OF PHILOSOPHY (SCE) 2008-09-17T09:03:56Z 2008-09-17T09:03:56Z 2007 2007 Thesis Zheng, Y. (2007). Information learning approach. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2480 10.32657/10356/2480 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Zheng, Yun Information learning approach |
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Proposed a new approach, called information learning approach, to computational learning theory. Developed an algorithm, called discrete function learning algorithm, based on information learning approach. Applied the discrete function learning algorithm to learning qualitative models of gene regulatory networks, solving classification problems, performing feature selection. |
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Kwoh Chee Keong |
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Kwoh Chee Keong Zheng, Yun |
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Theses and Dissertations |
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Zheng, Yun |
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Zheng, Yun |
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Information learning approach |
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Information learning approach |
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Information learning approach |
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Information learning approach |
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Information learning approach |
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information learning approach |
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2008 |
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https://hdl.handle.net/10356/2480 |
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