Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

<i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization حسب Alberga Domenico (9356272)

الموضوعات:

Face recognition algorithm flow based on the PCA. حسب Na Lin (69470)

Summary of classification algorithms. حسب Stephen R. Piccolo (8367780)

الموضوعات:

Classification algorithm hyperparameter combinations. حسب Stephen R. Piccolo (8367780)

الموضوعات:

Summary of feature-selection algorithms. حسب Stephen R. Piccolo (8367780)

الموضوعات:

Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation. حسب Simeone Marino (81051)

Feature-selection algorithm hyperparameter combinations. حسب Stephen R. Piccolo (8367780)

الموضوعات:

Comparison of ranks for classification algorithms across performance metrics. حسب Stephen R. Piccolo (8367780)

الموضوعات:

Tradeoff between execution time and predictive performance for classification algorithms. حسب Stephen R. Piccolo (8367780)

الموضوعات:

RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms حسب Yidan Tang (6623693)

"…The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based <i>de novo</i> drug discovery. …"

Relative classification performance per combination of feature-selection and classification algorithm. حسب Stephen R. Piccolo (8367780)

الموضوعات:

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

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Comparison based on hard instances from [79]. حسب Xiang Tian (4369285)

"…Secondly, based on the data libraries of the IPMMPO, two tuple sets suitable for constraint programming modeling are further designed as data preprocessing. …"

Train test validation libraries. حسب Muhammad Usman Tariq (11022141)

الموضوعات: