Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. حسب Jiaxi Wang (545353)

Loss Function Comparison. حسب Hongwei Yue (574068)

Loss Function Comparison. حسب Hongwei Yue (574068)

Acc epoch loss curve of IPCA algorithm. حسب Lu Lin (201289)

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

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AUC scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

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Recall scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

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An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

"…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…"

F1-scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

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Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

Network structure diagram of LMD-YOLO algorithm. حسب Weiyu Han (3448742)

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Network structure diagram of YOLOv8 algorithm. حسب Weiyu Han (3448742)

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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

Comparison of deconvolution and optimization algorithms on a batch of data. حسب Ali-Kemal Aydin (10968731)

"…Output is given by the vascular response, measured as the change in speed of red blood cells flowing inside a capillary proximal to the recorded neuronal activation (in yellow, right panel). Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …"

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

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. …"

Evolution of the rescaled hydraulic diameter () and complexity () in both simulations and seal tomograms as a function of simulation timestep and relative age (). حسب Jonathan E Kings (20818367)

Bayesian-frequentist Hybrid Inference in Applications with Small Sample Sizes حسب Gang Han (127634)

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APSO–CNN and FNN algorithms’ loss function training sets. حسب Ahmed Bahaa (12887063)

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APSO–CNN and FNN algorithms’ loss function validation sets. حسب Ahmed Bahaa (12887063)

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