Genetic Programming Bibliography entries for Mick Jung-Yi Lin

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GP coauthors/coeditors: Been-Chian Chien, Tzung-Pei Hong, Wei-Pang Yang, Louise L Chuang, Jeng-Yang Hwang, Chiung Hsin Chang, Chen Hsiang Yu, Fong Ming Chang, Hao-Ren Ke, Jen-Yuan Yeh, Chao Chung Liu, Ming Chih Tung, Chia Hui Chang, Ju Fu Peng,

Genetic Programming Articles by Mick Jung-Yi Lin

  1. Jung-Yi Lin and Hao-Ren Ke and Been-Chian Chien and Wei-Pang Yang. Classifier design with feature selection and feature extraction using layered genetic programming. Expert Systems with Applications, 34(2):1384-1393, 2007. details

  2. Jung-Yi Lin and Hao-Ren Ke and Been-Chian Chien and Wei-Pang Yang. Designing a classifier by a layered multi-population genetic programming approach. Pattern Recognition, 40(8):2211-2225, 2007. Part Special Issue on Visual Information Processing. details

  3. Been-Chian Chien and Jung-Yi Lin and Wei-Pang Yang. Learning effective classifiers with Z-value measure based on genetic programming. Pattern Recognition, 37(10):1957-1972, 2004. details

  4. Louise L. Chuang and Jeng-Yang Hwang and Been Chian Chien and Jung Yi Lin and Chiung Hsin Chang and Chen Hsiang Yu and Fong Ming Chang. Predicting fetal birth weight by ultrasound with the use of genetic programming. Ultrasound in Medicine \& Biology, 29(5, Supplement 1):S163-S163, 2003. details

  5. Been-Chian Chien and Jung Yi Lin and Tzung-Pei Hong. Learning discriminant functions with fuzzy attributes for classification using genetic programming. Expert Systems with Applications, 23(1):31-37, 2002. details

Genetic Programming PhD doctoral thesis Mick Jung-Yi Lin

Genetic Programming conference papers by Mick Jung-Yi Lin

  1. Jung Yi Lin and Ming Chih Tung and Chia Hui Chang and Chao Chung Liu and Ju Fu Peng. A New GPS Position Correction Method Based on Genetic Programming. In Advances in Intelligent Systems and Applications - Volume 1, volume 20, pages 177-185, 2013. Springer. details

  2. Jung Yi Lin and Chia Hui Chang and Ju Fu Peng and Ming Chih Tung and Chao Chung Liu. Evolving GPS position correction function using genetic programming. In Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on, pages 136-140, 2012. details

  3. Jung Yi Lin and Jen-Yuan Yeh and Chao-Chung Liu. Applying layered multi-population genetic programming on learning to rank for information retrieval. In International Conference on Machine Learning and Cybernetics (ICMLC 2012), volume 5, pages 1754-1759, 2012. details

  4. Jung Yi Lin and Ming Chih Tung and Chia Hui Chang and Chao Chung Liu and Ju Fu Peng. Position Correction on Consumer-Grade GPS Using Genetic Programming. In Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on, pages 200-203, 2012. details

  5. Jung Yi Lin and Jen-Yuan Yeh and Chao Chung Liu. Learning to rank for information retrieval using layered multi-population genetic programming. In IEEE International Conference on Computational Intelligence and Cybernetics (CyberneticsCom 2012), pages 45-49, 2012. details

  6. Jung Yi Lin. Fitness enhancement of layered architecture genetic programming. In 2010 International Computer Symposium (ICS), pages 700-704, 2010. details

  7. Jung-Yi Lin. Cancer classification using microarray and layered architecture genetic programming. In Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors, GECCO-2009 Late-Breaking Papers, pages 2085-2090, Montreal, 2009. ACM. details

  8. Jen-Yuan Yeh and Jung-Yi Lin and Hao-Ren Ke and Wei-Pang Yang. Learning to Rank for Information Retrieval Using Genetic Programming. In Thorsten Joachims and Hang Li and Tie-Yan Liu and ChengXiang Zhai editors, SIGIR 2007 workshop: Learning to Rank for Information Retrieval, 2007. details

  9. Jung-Yi Lin and Been-Chian Chien and Tzung-Pei Hong. A Function-Based Classifier Learning Scheme Using Genetic Programming. In M.-S. Chen and P. S. Yu and B. Liu editors, Advances in Knowledge Discovery and Data Mining : 6th Pacific-Asia Conference, PAKDD 2002, volume 2336, pages 92-103, Taipel, Taiwan, 2002. Springer-Verlag. details

  10. Been-Chian Chien and Jung-Yi Lin. A Classifier with the Function-based Decision Tree. In E. Damiani and L. C. Jain and R. J. Howlett and N. Ichalkaranje editors, Proceedings of KES'2002 the Sixth International Conference on Knowledge-Based Intelligent Information Engineering Systems, volume 82, pages 648-652, Podere d'Ombriano, Crema, Italy, 2002. IOS Press. details