بدائل البحث:
implement learning » implicit learning (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
pass algorithm » lasso algorithm (توسيع البحث), pso algorithm (توسيع البحث), rast algorithm (توسيع البحث)
element pass » element data (توسيع البحث), element mesh (توسيع البحث)
implement learning » implicit learning (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
pass algorithm » lasso algorithm (توسيع البحث), pso algorithm (توسيع البحث), rast algorithm (توسيع البحث)
element pass » element data (توسيع البحث), element mesh (توسيع البحث)
-
1
-
2
List of the time used by each algorithm.
منشور في 2024"…Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …"
-
3
Types of machine learning algorithms.
منشور في 2024"…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"
-
4
-
5
-
6
-
7
-
8
Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf
منشور في 2025"…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …"
-
9
Statistical results of various algorithms.
منشور في 2025"…<div><p>Data classification is an important research direction in machine learning. …"
-
10
-
11
DMTD algorithm.
منشور في 2025"…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …"
-
12
-
13
-
14
PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection
منشور في 2025الموضوعات: -
15
-
16
Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf
منشور في 2025"…Data was analyzed by means of a hybrid machine learning (ML) approach, which combines unsupervised and supervised methods. …"
-
17
Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf
منشور في 2025"…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. …"
-
18
The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
منشور في 2025الموضوعات: -
19
-
20
Explained variance ration of the PCA algorithm.
منشور في 2025"…These classification algorithms often requires conversion of a medical data to another space in which the original data is reduced to important values or moments. …"