|
 |
|
|
|
|
[1] L. Adleman and M. Blum, Inductive inference and unsolvability, Journal of Symbolic Logic 56 (1991), 891-900. |
|
|
|
|
|
|
|
|
[2] A. Ambainis, Probabilistic and team PFIN-type learning: General properties, Proceedings of the Ninth Annual Conference on Computational Learning Theory, ACM Press, 1996, pp. 157-168. |
|
|
|
|
|
|
|
|
[3] A. Ambainis, R. Freivalds, and C. Smith, General inductive inference types based on linearly-ordered sets, Proceedings of Symposium on Theoretical Aspects of Computer Science, Lecture Notes in Computer Science, vol. 1046, Springer-Verlag, 1996, pp. 243-253. |
|
|
|
|
|
|
|
|
[4] A. Ambainis, S. Jain, and A. Sharma, Ordinal mind change complexity of language identification, Third European Conference on Computational Learning Theory (S. Ben-David, ed.), Lecture Notes in Artificial Intelligence, vol. 1208, Springer-Verlag, 1997, pp. 301-315. |
|
|
|
|
|
|
|
|
[5] D. Angluin, Finding patterns common to a set of strings, Journal of Computer and System Sciences 21 (1980), 46-62. |
|
|
|
|
|
|
|
|
[6] ———, Inductive inference of formal languages from positive data, Information and Control 45 (1980), 117-135. |
|
|
|
|
|
|
|
|
[7] K. Apsitis
*, Asymmetric team learning, Proceedings of the Tenth Annual Conference on Computational Learning Theory, ACM Press, 1997, pp. 90-95. |
|
|
|
|
|
|
|
|
[8] S. Arikawa, S. Miyano, A. Shinohara, T. Shinohara, and A. Yamamoto, Algorithmic learning theory with elementary formal systems, IEICE Trans. Inf. and Syst. E75-D No. 4 (1992), 405-414. |
|
|
|
|
|
|
|
|
[9] S. Arikawa, T. Shinohara, and A. Yamamoto, Learning elementary formal systems, Theoretical Computer Science 95 (1992), 97-113. |
|
|
|
|
|
|
|
|
[10] H. Arimura and T. Shinohara, Inductive inference of Prolog programs with linear data dependency from positive data, Proc. Information Modelling and Knowledge Bases V, IOS Press, 1994, pp. 365-375. |
|
|
|
|
|
|
|
|
[11] G. Baliga and J. Case, Learning with higher order additional information, Algorithmic learning theory: Fourth International Workshop on Analogical and Inductive Inference (AII '94) and Fifth International Workshop on Algorithmic Learning Theory (ALT '94) (S. Arikawa and K. Jantke, eds.), Lecture Notes in Artificial Intelligence, vol. 872, Springer-Verlag, 1994, pp. 64-75. |
|
|
|
|
|
|
|
|
[12] G. Baliga, S. Jain, and A. Sharma, Learning from multiple sources of inaccurate data, SIAM Journal of Computing 26 (1997), 961-990. |
|
|
|
|
