The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …"

Data and code resources. حسب Sam Hall-McMaster (10343795)

"…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …"

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. حسب Dinh K. Tang (20469082)

Algorithm testing. حسب Ziad M. Ali (12516532)

"…The accuracy of the proposed equivalent circuits is demonstrated on two solar cells/modules, RTC-F and MSX-60, showing equal or better performance than the standard PV_DDM equivalent circuit. Further testing on a commercial solar panel under different irradiance and temperature conditions confirms the applicability of the proposed models. …"

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Pseudo code. حسب Xuwei Liu (6034592)

"…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …"

Algorithm testing environment settings. حسب Hua Song (113155)

The speciation of ANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The fitness of NANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

The speciation of NANEAT model evolution. حسب Wenbing Shi (5806160)

الموضوعات:

Comparison of optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

الموضوعات:

The construction process of the CGO prediction model. حسب Wenbing Shi (5806160)

الموضوعات:

Performance of models by different algorithms. حسب Yong Zhang (5893)

الموضوعات:

Pseudo-code for the study design model. حسب Jianpeng Zhang (528185)

"…The results showed that the proposed model only took about 8 seconds to complete training and testing, while all other models required about 10 seconds. …"

The structure of the NANEAT model corresponds to the optimal species genome. حسب Wenbing Shi (5806160)

الموضوعات:

The structure of the ANEAT model corresponds to the optimal species genome. حسب Wenbing Shi (5806160)

الموضوعات: