Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... حسب Ross J. Burton (10941910)

Changes in the loss function value on the validation set. حسب Kyung Won Kwon (18150416)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …"

Search Algorithms and Loss Functions for Bayesian Clustering حسب David B. Dahl (11761055)

"…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …"

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

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

The variation process of various loss functions before and after model improvement. حسب Zhenwei Li (834360)

Changes in loss values for different algorithms. حسب Xiaojun Wang (50332)

الموضوعات:

Results of different loss function weight. حسب Can Zhao (706105)

Training accuracy/loss as a function of epochs for different datasets. حسب Hiam Alquran (17636906)

Comparison results of the loss functions. حسب Jia Li (160557)

الموضوعات:

Prediction of oncogenes (OG), tumor suppressors (TS) and loss of function (LOF) mutations. حسب Oveis Jamialahmadi (6619289)

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

Comparison the results with and without Fourier Loss Function for Rain100H. حسب Chaobing Zheng (20896579)

A hybrid algorithm based on improved threshold function and wavelet transform. حسب Bingbing Li (461702)

الموضوعات:

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)

The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. حسب Hiam Alquran (17636906)