Disparities in self-presentation of user’s preferences on algorithm matching. حسب Linsha Liu (20378293)

"…<p>Disparities in self-presentation of user’s preferences on algorithm matching.…"

The process of matching borrowing and lending banks using the alliance-first matching algorithm. حسب Ziwen Jiang (1341279)

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

Unique phenotypes which were not matched by either algorithm. حسب Mohammad A. Al-Mamun (6086642)

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

Sensitivity Analysis of the “Swift Effect” Across Matching Algorithms. حسب James M. Smoliga (9074225)

"…The y-axis represents the estimated effect in Kelce's yards (with corresponding 95% confidence intervals shown as error bars) from linear mixed effects models comparing Swift-era games to matched pre‑Swift controls. In Panel A, the effects indicate that Kelce’s performance does not differ significantly when Swift is present, while Panel B reveals that any performance decline when she is absent is sensitive to the matching algorithm employed. …"

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

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

R file for the elementary computations presented in Section 3. حسب Jürgen Kampf (21354027)

On Seeded Subgraph-to-Subgraph Matching: The ssSGM Algorithm and Matchability Information Theory حسب Lingyao Meng (2327710)

"…The problem is intractable, and we present the ssSGM algorithm, which uses Frank-Wolfe methodology to efficiently find an approximate solution. …"

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Impact of multiunit merging on neural information encoding. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" حسب Yize Wang (19535173)

"…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…"

R file for the simulation of the mean values presented in Section 4.1. حسب Jürgen Kampf (21354027)

R file for the simulation of the logistic regression presented in Section 4.4. حسب Jürgen Kampf (21354027)

R file for the simulation of the mean values presented in Section 4.1. حسب Jürgen Kampf (21354027)

R file for the simulation of the linear regression presented in Section 4.3. حسب Jürgen Kampf (21354027)

R file for the (co)variances of the real data presented in Section 3. حسب Jürgen Kampf (21354027)

R file for the logistic regression of the real data presented in Section 3. حسب Jürgen Kampf (21354027)