BEs with different loss functions. by Qin Gong (118801)

Subjects:

An Adapted Loss Function for Censored Quantile Regression by Mickaël De Backer (5166839)

“…For practical minimization of the studied loss function, we also provide a simple algorithmic procedure shown to yield satisfactory results for the proposed estimator with respect to the existing literature in an extensive simulation study. …”

Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

The loss curves of different classification and detection algorithms varying with the iteration number. by Zongchen Li (12476737)

The resultant loss curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

Loss function curve graphs. by Huiying Zhang (200681)

Algorithm framework. by Zongjin Li (38031)

Subjects:

Loss function curves. by Saad Hammood Mohammed (20623506)

Comparison of convergence results of algorithms. by Wangang Cai (14599879)

Subjects:

Algorithm running results comparison. by Wangang Cai (14599879)

Subjects:

Equivalence of loss functions and effects of regularization. by Jonathan Vacher (17041542)

Time spent on image denoising using different algorithms. by Bingbing Li (461702)

Subjects:

Algorithmic process of partial convolution. by Cuiying Yu (18437285)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

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. …”

GA and loss function (Loss_L) parameters are optimized using their search spaces through the hyperparameter tuning. by Burcu Ozek (16949357)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…<p dir="ltr"><b>Opti2Phase: Python Scripts for Two-Stage Focal Reducer Design</b></p><p dir="ltr">The folder <b>Opti2Phase</b> contains the Python scripts used to generate the results presented in the manuscript. …”

Loss functions between PCA-DNN model and PCA-LSTM model. by Cihun-Siyong Alex Gong (11874066)