Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

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

Subjects:

Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

“…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …”

Flowchart for Algorithm 1. by Sagvan Y. Musa (17797611)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Subjects:

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. …”

Summary of AUC values from different classification algorithms. by Christopher E. Niemczak (8586861)

Subjects:

Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…We show that batched formation of the XC matrix from the density matrix yields the best performance for large (>O(103) basis functions), sparse systems such as glycine chains and water clusters. …”

Represention of the anneal schedules used as a function of the dimensionless anneal parameter <i>s</i>. by John Golden (9946327)

Tuned parameters of algorithms. by Kaveh Faraji Googerdchi (18778727)

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”

Types of training algorithms. by Caixia Yan (6647072)

Running memory of the algorithms. by Yanju Zhang (437336)

Subjects:

Summary of results of naïve Bayes algorithms. by Christopher E. Niemczak (8586861)

Subjects:

Flowchart of the specific incarnation of the BO algorithm used in the experiments. by Lisa Laux (9367681)

“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)