Quantifying overfitting in deep learning.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 705, doi. 10.1142/S0219530525400068
- By:
- Publication type:
- Article
Works matching IS 02195305 AND DT 2025 AND VI 23 AND IP 5
Results: 8
1
2
Variable-weighted multi-view collaborative fuzzy clustering with consideration of entropy and separability.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 731, doi. 10.1142/S0219530525400056
- By:
- Publication type:
- Article
3
Kernel support matrix machines with ramp loss.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 655, doi. 10.1142/S0219530525400044
- By:
- Publication type:
- Article
4
Bootstrap SGD: Algorithmic stability and robustness.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 675, doi. 10.1142/S0219530525400032
- By:
- Publication type:
- Article
5
Robust learning of the modified Huber loss.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 757, doi. 10.1142/S0219530525400020
- By:
- Publication type:
- Article
6
Enhancing DCNN model performance: Experimental analysis based on data augmentation.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 635, doi. 10.1142/S0219530525400019
- By:
- Publication type:
- Article
7
Convergence rates of regularized Huber regression under weak moment conditions.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 867, doi. 10.1142/S0219530524410021
- By:
- Publication type:
- Article
8
A new development of the harmonic balance method: The hybrid harmonic balance method.
- Published in:
- Analysis & Applications, 2025, v. 23, n. 5, p. 777, doi. 10.1142/S021953052441001X
- By:
- Publication type:
- Article