A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

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

“…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

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

List of Prediction tasks. by Pramod Shinde (20968597)

Performance of algorithms and clinician on clinical outcomes task. by Andrew McDonald (2307400)

Subjects: “…provide interpretable predictions…”

Results of using the algorithm to find the chemical constituents for compounds using dual energy and mass attenuation coefficient. by Dong Hyeok Choi (12562048)

Results of using the algorithm to find the chemical constituents for mixtures using dual energy and mass attenuation coefficient. by Dong Hyeok Choi (12562048)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

“…Each panel includes three plots: the theoretical predictions of a UVFA algorithm, the theoretical predictions of an SF&GPI algorithm, and empirical choices from human participants. …”

CatBoost algorithm structure to predict clinical outcome. by Andrew McDonald (2307400)

Subjects: “…provide interpretable predictions…”

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

Algorithms example of segmentation task through ZdensityRODE and AMPDE. by Gabriel Galeote-Checa (20613878)

Source Code and Dataset by Swathi Ganesan (14394924)

Schematic of observation window and prediction tasks employed in the study. by Nowell M. Fine (13874645)

The GTO algorithm process. by Yulin Li (36434)

Subjects:

Binary classification task performance. by Thierry Jean (20691795)

Subjects:

Ordinal regression task performance. by Thierry Jean (20691795)

Subjects:

Q-learning model of a licking behavior during Go/No-go auditory discrimination task. by Huu Hoang (9188747)

Subjects: “…supervised learning algorithms…”

Example scenario to illustrate how rating is predicted by proposed algorithm. by Muhammad Waqar (500788)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects: