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

الموضوعات:

Summary of classification 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)

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

الموضوعات:

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

الموضوعات:

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:

Algorithm for generating hyperparameter. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters حسب José Manuel Vásquez-Pérez (12843737)

"…The Fortran implementation of the algorithm is available as an open source library (https://github.com/qcuaeh/molalignlib) and is suitable to be used in global optimization methods for the identification of local minima or basins.…"

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

الموضوعات:

Results of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

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

الموضوعات:

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

An optimal solution for the HFS instance. 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:

ROC comparison of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. حسب Stephen R. Piccolo (8367780)

الموضوعات:

Top 50 genes according to average rank across feature-selection algorithms for GSE10320 and GSE46691. حسب Stephen R. Piccolo (8367780)

الموضوعات:

ReaLigands: A Ligand Library Cultivated from Experiment and Intended for Molecular Computational Catalyst Design حسب Shu-Sen Chen (1777108)

الموضوعات:

Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"