Current - Issue
Year 2026 · Volume 6 · Issue 5
Original Article
Performance Improvement through Hyper-Parameter Optimization for Hand-Written Character Recognition
Vaishnavi Nampally1
Bhatracharyulu N. Ch2
1 2 Department of Statistics, Osmania University, Hyderabad, Telangana, India.
Published Online: September-October 2026
Pages: 322-329
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260605035
References
1. Adonie, R.(2019): “Hyperparameter Optimization in Learning Systems”, Journal of Membrane Computing, 1(4):279-291.
2. Breiman, L. (2001): “Random Forests”, Machine Learning, 45(1): 5-32.
3. Cohen, G., Afshar, S., Tapson, J. and van Schaik, A. (2017): “EMNIST: Extending MNIST to Handwritten Letters”, International Joint Conference on Neural Networks, 17(1):2921–2926.
4. Cortes, C., Vapnik, V. (1995): “Support-Vector Networks”, Machine Learning, 20(3): 273-297.
5. Cover, T., Hart, P. (1967): “Nearest Neighbor Pattern Classification”, IEEE Transactions on Information Theory, 13(1):21-27.
6. Cox, D. (1958): “The Regression Analysis of Binary Sequences”, Journal of the Royal Statistical Society: Series B (Methodological), 20(2): 215–232.
7. Hochreiter, S., & Schmidhuber, J. (1997): “Long short-term memory”, Neural Computation, 9(8): 1735–1780.
8. Mohamad Hallak, Vaishnavi Nampally and Bhatracharyulu N.Ch. (2026): “Hand-Written Character Recognition: Advanced Machine Learning Techniques”, International Journal of Computational Intelligence Research, 22(1):45-48.
9. Patel, E., & Kushwaha, D. S. (2022): “A hybrid CNN-LSTM model for predicting server load in cloud computing”,The Journal of Supercomputing, 78(8):1-30.
10. Sabour, S., Frosst, N., & Hinton, G. E. (2017): “Dynamic routing between capsules”, Advances in Neural Information Processing Systems, 17(1): 3856-3866
11. Schmider, E., Ziegler, M., Danay, E., Beyer, L., & Bühner, M. (2010): “ Is it really robust? Reinvestigating the robustness of ANOVA against violations of the normal distribution assumption”, Methodology, 6(4):147–151.
2. Breiman, L. (2001): “Random Forests”, Machine Learning, 45(1): 5-32.
3. Cohen, G., Afshar, S., Tapson, J. and van Schaik, A. (2017): “EMNIST: Extending MNIST to Handwritten Letters”, International Joint Conference on Neural Networks, 17(1):2921–2926.
4. Cortes, C., Vapnik, V. (1995): “Support-Vector Networks”, Machine Learning, 20(3): 273-297.
5. Cover, T., Hart, P. (1967): “Nearest Neighbor Pattern Classification”, IEEE Transactions on Information Theory, 13(1):21-27.
6. Cox, D. (1958): “The Regression Analysis of Binary Sequences”, Journal of the Royal Statistical Society: Series B (Methodological), 20(2): 215–232.
7. Hochreiter, S., & Schmidhuber, J. (1997): “Long short-term memory”, Neural Computation, 9(8): 1735–1780.
8. Mohamad Hallak, Vaishnavi Nampally and Bhatracharyulu N.Ch. (2026): “Hand-Written Character Recognition: Advanced Machine Learning Techniques”, International Journal of Computational Intelligence Research, 22(1):45-48.
9. Patel, E., & Kushwaha, D. S. (2022): “A hybrid CNN-LSTM model for predicting server load in cloud computing”,The Journal of Supercomputing, 78(8):1-30.
10. Sabour, S., Frosst, N., & Hinton, G. E. (2017): “Dynamic routing between capsules”, Advances in Neural Information Processing Systems, 17(1): 3856-3866
11. Schmider, E., Ziegler, M., Danay, E., Beyer, L., & Bühner, M. (2010): “ Is it really robust? Reinvestigating the robustness of ANOVA against violations of the normal distribution assumption”, Methodology, 6(4):147–151.
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