Version space learning with DNA molecules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2568, Issue , 2003, Pages 143-155

  Lim, Hee Woong ^a   Yun, Ji Eun ^a   Jang, Hae Man ^b   Chai, Young Gyu ^b   Yoo, Suk In ^a   Zhang, Byoung Tak ^a  

^a Seoul National University   (South Korea)

^b Hanyang University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33645585834     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36440-4_13     Document Type: Article

References (10)

1. L. M. Adleman: Computing with DNA, Scientific American, pages 34-41, August, 1998
2. T. Dean, J. Allen, and Y. Aloimonos: Artificial Intelligence, Addison-Wesley, 1995
3. M. Hagiya, M. Arita, D. Kiga, K. Sakamoto, S. Yokoyama: Towards parallel evaluation and learning of Boolean μ-formulas with molecules, DNA Based Computers III, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Vol. 48, pages 57-72, 1999
4. D. Haussler: Quantifying inductive bias: AI learning algorithms and Valiant's learning framework, Artificial Intelligence, Vol. 36, pages 177-221, 1988
5. H. Hirsh: Generalizing version spaces, Machine Learning, Vol. 17(1), pages 5-45, Kluwer Academic Publishers, 1994
6. H. Hirsh, N. Mishra, L. Pitt: Version spaces without boundary sets, Proceedings of the Fourteenth National Conference on Artificial Intelligence (AAAI97), pages 491-496, AAAI Press/MIT Press 1997
7. T. M. Mitchell: Machine Learning, McGraw-Hill, 1997
8. th International Meeting On DNA Based Computers, pages 128-137, 2001
9. Y. Sakakibara: Solving computational learning problems of Boolean formulae on DNA computers, DNA Computing, Springer-Verlag, Heidelberg, pages 220-230, 2000
10. S.-Y. Shin, D.-M. Kim, I.-H. Lee, and B.-T. Zhang: Evolutionary sequence generation for reliable DNA computing, Proc. of Congress on Evolutionary Computation 2002, pages 79-84, 2002.