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

EALM algorithm. by Weibo Wang (782424)

Accuracy as a function of the rate of learning. by Arun Kumar M. (13871050)

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

“…<p><i>(a)</i> Noninvadable states by definition can only exist in the region Ω of resource space where the growth rate <i>dN</i>_<i>i</i>/<i>dt</i> of each species <i>i</i> is zero or negative. …”

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

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... by Ross J. Burton (10941910)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by 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. …”

Completion times for different algorithms. by Jianbin Zheng (587000)

“…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

“…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

Functions of membership for <i>age</i> variable. by José Carlos R. Alcantud (6858155)

Functions of membership for <i>BMI</i> variable. by José Carlos R. Alcantud (6858155)

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

Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered. by Zhengtian Li (5076704)

Functions of membership for <i>FEV1%</i> variable. by José Carlos R. Alcantud (6858155)

MSVM-RFE algorithm for screening key genes. by Ya xi Zhu (11624730)

Great machine learning performance with multiple classification algorithms. by Sydney C. Weiser (15383531)

The details of the Scelestial algorithm. by Mohammad-Hadi Foroughmand-Araabi (6658772)

The gene set related to the “Cytotoxicity” and “Progenitor exhaustion” function of T cells. by Yanfeng Xue (465345)

Subjects: “…Cell Biology…”