Search alternatives:
based optimization » whale optimization (Expand Search)
ai optimization » acid optimization (Expand Search), art optimization (Expand Search), _ optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
based ai » based ap (Expand Search), based bci (Expand Search), based all (Expand Search)
based optimization » whale optimization (Expand Search)
ai optimization » acid optimization (Expand Search), art optimization (Expand Search), _ optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
based ai » based ap (Expand Search), based bci (Expand Search), based all (Expand Search)
-
1
-
2
-
3
-
4
Performance of different ensemble algorithms for optimal partitioning policy.
Published 2024Subjects: -
5
-
6
Performance of different ensemble algorithms for optimal offloading policy.
Published 2024Subjects: -
7
-
8
-
9
Algorithm for generating hyperparameter.
Published 2024“…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. …”
-
10
Results of machine learning algorithm.
Published 2024“…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. …”
-
11
The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization
Published 2020“…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …”
-
12
The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization
Published 2020“…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …”
-
13
Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
Published 2019“…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
-
14
ROC comparison of machine learning algorithm.
Published 2024“…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. …”
-
15
-
16
-
17
-
18
-
19
-
20