Search Results

Minimum sample size calculation for radiomics-based binary outcome prediction models: Theoretical framework and practical example

• Authors : Cao, Qian; Jiang, Zhaoyu; Wang, Zhixiang

Subjects: Binary outcome; Logistic regression; Prediction model

• Source: Radiotherapy and Oncology vol.212 (2025) [ISSN 0167-8140]

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Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition Kernels

• Authors : Carbone, Davide

Subjects: Machine Learning; Computational Physics; text

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Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies

• Authors : Luo, Xiaoliang; Xu, Xinyi; Ramscar, Michael

Subjects: Computation and Language; text

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A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization

• Authors : Wang, Jing; Choromanska, Anna

Subjects: Machine Learning; Distributed, Parallel, and Cluster Computing; Optimization and Control

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Generative AI Models Theoretical Foundations and Algorithmic Practices

• Authors : Cao, Yongnian; Yang, Xuechun; Sun, Rui

Subjects: Generative AI; Variational Autoencoders (VAEs); Generative Adversarial Networks (GANs)

• Source: Journal of Industrial Engineering and Applied Science; Vol. 3 No. 1 (2025); 1-9; 3005-6071; 3005-608X

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Exploring Innovation Models: Theoretical Approaches and Their Potential for Economic Development in Morocco

• Authors : EL OMARI, Akram; SABRI, Karim

Subjects: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion

• Source: International Journal of Accounting, Finance, Auditing, Management and Economics; Vol. 5 No. 9 (2024); 560-573; International Journal of Accounting, Finance, Auditing, Management and Economics; Vol. 5

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Exploring Innovation Models: Theoretical Approaches and Their Potential for Economic Development in Morocco

• Authors : EL OMARI, Akram; SABRI, Karim

Subjects: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; Article évalué par les pairs

• Source: International Journal of Accounting, Finance, Auditing, Management and Economics; Vol. 5 No. 9 (2024); 560-573; International Journal of Accounting, Finance, Auditing, Management and Economics; Vol. 5

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Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling

• Authors : Ning, Jie; Sun, Jiebao; Shi, Shengzhu

Subjects: Computer Vision and Pattern Recognition; text

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Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method

• Authors : Pan, Bikang; Huang, Wei; Shi, Ye

Subjects: Machine Learning; Computation and Language; Computer Vision and Pattern Recognition

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The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

• Authors : Luan, Sitao; Hua, Chenqing; Lu, Qincheng

Subjects: Machine Learning; Social and Information Networks; text

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