Generalization ability and robustness evaluation results. حسب Shenglan Tang (707472)

The general procedure of the proposed algorithm. حسب Shayesteh Tabatabaei (12280016)

Optimal hyperparameters of the model-agnostic meta-learning algorithm with few-shot tasks. حسب Soraya Khanmohmmadi (21539953)

Algorithm performance under different problem sizes. حسب Tingting Zhang (264633)

Robust control scheme. حسب Tuan Anh Nguyen (121944)

"…Overall, the proposed algorithm significantly improves data training accuracy and generalization performance.…"

Model generalization experiment. حسب Jiexiang Yang (19980594)

Runtime and sensitivity to of the iLV Algorithm using real datasets. حسب Yue Huang (285485)

Runtime and sensitivity to of the iLV Algorithm using simulated datasets. حسب Yue Huang (285485)

Generalized Linear Model to assess the influence of factors in Fig 3 . حسب Indu Ilanchezian (21369996)

Generalized Linear Model to assess the influence of factors in Fig 9 . حسب Indu Ilanchezian (21369996)

Two subroutines of the iLV Algorithm jointly improve parameter estimation. حسب Yue Huang (285485)

The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…To further enhance the performance, this paper also constructs the V2IRBMO variant by combining the S-shaped and V-shaped transfer functions, which further enhances the robustness and generalization ability of the algorithm. …"

Characteristics of training algorithms. حسب Tuan Anh Nguyen (121944)

"…Overall, the proposed algorithm significantly improves data training accuracy and generalization performance.…"

Schematic diagram of anchor free box detection algorithm framework based on ratio information. حسب Qingbin Hou (19644658)

The effectiveness of the XGBoost algorithm. حسب Shenglan Tang (707472)

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

"…To further enhance the performance, this paper also constructs the V2IRBMO variant by combining the S-shaped and V-shaped transfer functions, which further enhances the robustness and generalization ability of the algorithm. …"

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…To further enhance the performance, this paper also constructs the V2IRBMO variant by combining the S-shaped and V-shaped transfer functions, which further enhances the robustness and generalization ability of the algorithm. …"

Hardest general multi-objective problems. حسب Vahid Goodarzimehr (21343124)

Key features of the XGBoost algorithm. حسب Shenglan Tang (707472)

The working principle of the XGBoost algorithm. حسب Shenglan Tang (707472)