Rastrigin function losses for . by Shikun Chen (14625352)

“…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …”

Rastrigin function losses for . by Shikun Chen (14625352)

“…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …”

Rosenbrock function losses for . by Shikun Chen (14625352)

“…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …”

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

Loss function curve graphs. by Huiying Zhang (200681)

Algorithm framework. by Zongjin Li (38031)

Subjects:

Table_1_Vestibular assessment in children with sensorineural hearing loss: diagnostic accuracy and proposal for a diagnostic algorithm.DOCX by Max Gerdsen (13825351)

Loss function comparison plot. by Wenhao Ren (2561731)

The SSIM for the different algorithms. by Bingbing Li (461702)

Subjects:

Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

Subjects:

Convergence curve of shift function. by Yong Gao (29929)

Subjects:

Comparative experimental data of loss functions. by Huiying Zhang (200681)

“…Additionally, three innovative loss functions—focalerDIoU, focalerGIOU and focalerShapeIoU are proposed to reduce losses during the training process. …”

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

Subjects:

Performance comparison of mainstream algorithms. by Junjie Lu (160350)

Subjects:

Training loss function curve. by Mingtao Gao (21722035)

DE algorithm flow. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

Siou loss function calculation diagram. by Weiyu Han (3448742)

Subjects:

WERs for different SE algorithms. by Fahad Khalil Peracha (15453204)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

“…In order to improve the clarity and visual effect of product appearance design, a visual edge feature enhancement method for product appearance design images based on an improved Retinex algorithm is proposed. …”