Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

“…Computationally, we tackle the nonconvex optimization by developing an efficient proximal gradient algorithm. …”

One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

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<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

“…<p><b>(A)</b> Input data is a list of genotype-level SNPs. <b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …”

CSTP-MAC algorithm backoff time-slots vs IEEE 802.15.4 binary backoff exponential algorithm backoff time-slots. by Innocent Uzougbo Onwuegbuzie (9243166)

Flowchart of the GA-optimized BPNN algorithm. by Guoqiang Du (9346531)

Optimized process of the random forest algorithm. by Hongxia Li (493545)

“…Subsequently, a training model based on the random forest classification algorithm is constructed, and the model is optimized using two parameters, Mtry and Ntree. …”

AUW-CE Mining Algorithms & Dataset Hub by Shuaikang Yuan (21091847)

“…Moreover, in response to the limitations of conventional cross-entropy methods for HUCPM, four core optimization strategies are designed: optimization of the initial probability distribution to guide the search direction, enhancement of sample diversity to prevent local convergence, dynamic adjustment of sample size to reduce redundant calculations, and incorporation of utility weights to improve the accuracy of probability updates. …”

Absorbance data for 25 samples used to optimize uncertainty parameters. by Christian Salmon (780906)

The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

Evaluation of the optimization algorithm using mock microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

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Evaluation of the optimization algorithm using clinical microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

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Optimal patch size and stride selection algorithm with stability constraints. by Chenglong Ge (2626258)

Number of samples after dataset optimization. by Ming-zhou Lv (21402593)

Architecture of the DGAK Module and AKConv Initial Sampling Coordinate Generation Algorithm. by Siyuan Tang (5963312)

Evaluation of the optimization algorithm using <i>in vitro</i> microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

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Sample of the comparison of inference given by the adaboost algorithm and the real data. by Raphael Souza de Oliveira (12647110)

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties by Tamara Cantú Maltauro (15199725)

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level by Giovanni Nattino (561797)

“…Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”