참고문헌
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams,'Learning Internal Representations by Error Propation,' Parallel Distributed Processing, Vol. 1, pp. 318-362, Bradford Books, Cambridge MA, 1986
- C. Cachin, Pedagogical Pattern Selection Strategies, Neural Networks, Vol. 7, No. 1, pp. 175-181, 1994 https://doi.org/10.1016/0893-6080(94)90066-3
- S. Ahmad and G. Tesauro, 'Scaling and generalization in neural networks : a case study,' in Proc. 1988 Connec. Models Summer School, pp. 3-10, 1989
- K. A. Huyser and M. A. Horowitz, 'Generalization in connectionist networks that realize Boolean functions,' in Proc. 1988 Connec. Models Summer School, pp. 191- 200, 1989
- C. Cachin, Pedagogical Pattern Selection Strategies, Neural Networks, Vol. 7, No. 1, pp. 175-181, 1994 https://doi.org/10.1016/0893-6080(94)90066-3
- I. Cloete, J. Ludik. 'Increased Complexity Training,' IWANN, pp. 267-271, 1993
- J. Ludik, I. Cloete, 'Incremental Increased Complexity Training,' ESANN, Brussels, Belgium, pp. 161-165, 1994
- B. T. Zhang, Accelerated Learning by Active Example Selection, International Journal of Neural Systems, Vol. 5, No. 1, pp. 67-75, 1994
- A. Robel, The dynamic pattern selection algorithm: Effective training and controlled generalization of backpropagation neural networks, Technische Universitat Berlin, Germany, Tech. Rep., 1994
- D. A. Cohn, 'Neural Network Exploration using Optimal Experiment Design,' AI Memo 1491, MIT Artificial Intelligence Laboratory, 1994
- M. Plutowski, H. White, 'Selecting Concise Training Sets from Clean Data,' IEEE Transactions on Neural Netowrks, Vol. 4, No. 2, pp. 305-318, 1993 https://doi.org/10.1109/72.207618
- K. K. Sung, P. Niyogi, 'A Formulation for Active Learning with Applications to Object Detection, AI Memo 1438, MIT Artificial Intelligence Laboratory, 1996
- A. Englbrecht, I. Cloete, Selective Learning using Sensitivity Analysis, IJCNN98, Vol.2, pp.1150-1155, 1998 https://doi.org/10.1109/IJCNN.1998.685935
- R. Lange, R. Manner, 'Quantifying a Critical Training Set Size for Generalization and Overfitting using Teacher Neural Network' ICANN, Vol 1, pp. 497-500. 1994
- D. Cohn, L. Altlas, R, Ladner, Improving Generalization with Active Learning. Machine Learning Vol. 15 pp. 201-221. 1994 https://doi.org/10.1007/BF00993277
- Chulee Lee, David A. Landgrebe, 'Decision boundary Feature Extraction for Neural Networks' IEEE Transactions on Neural Nwtwork,' Vol. 8, No. 1 pp. 75-83, 1997 https://doi.org/10.1109/72.554193
- A. K. Jain and R. C. Dubges, 'Algorithm for Clustering Data,' Englewood Cliffs, NJ07632 : Prentice Hall, 1988
- http://ftp.ics.uci.edu/pub/machine-learning-databases/optdigits/