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:

Coarse-fine optimization algorithm. by Chao Ma (207385)

“…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …”

Types of training algorithms. by Caixia Yan (6647072)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

Subjects:

Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

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

“…</p><p>Setting</p><p>The Infectious Disease Center in Dar es Salaam, Tanzania</p><p>Participants</p><p>Participants were 939 Tanzanian individuals from Dar es Salaam living with and without HIV who were part of a longitudinal study. …”

On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform by Zhehong Ai (17937324)

Subjects: “…customized multiobjective functions…”

Tracking the discrete cluster assignment derived from HAC according to the linkage function used applied to the −log₂ IBD distance matrix. by James A. Watson (7305206)

“…Average linkage was arbitrarily chosen as the ‘reference’ method (any of four linkage functions could be used). These colours are then used to produce stacked barplots for cluster membership derived from three other algorithm specifications (complete, single and Ward’s criterion, panels B-D, respectively).…”

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

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

“…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”

Test functions. by Kejia Liu (5699651)

“…The escape rate from local optima within DGEP reached 35% higher than what standard GEP could achieve. …”

The proposed method for protein function prediction. by Seyyede Fatemeh Seyyedsalehi (10196767)

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

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

Results from the performance-based assessments of hand function for PALS and the age/sex matched healthy subgroup. by Conor D. Hayden (20855587)

Convergence graphs of the ten algorithms for the five functions from the CEC 2014 suite. by Juan Yao (293170)

Functional effect prediction of FUS mutations by ten nsSNP prediction algorithms. by L. F. S. Bonet (11502082)

Five types of Beta functions considered. by Luan Carlos de Sena Monteiro Ozelim (16914117)

Attack and defense behaviors with the sensory–motor algorithm between a single predator and a single prey. by Hiroyuki Ichijo (13891153)

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. by Turgay Şengül (12801990)

“…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.…”

Fitness comparison on test function. by Kejia Liu (5699651)

“…The escape rate from local optima within DGEP reached 35% higher than what standard GEP could achieve. …”