بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
-
1101
Block diagram of proposed RGMLL blending ensemble learning model.
منشور في 2025الموضوعات: "…explainable ensemble learning…"
-
1102
Federated learning results.
منشور في 2025"…<div><p>Deep learning models for diagnostic applications require large amounts of sensitive patient data, raising privacy concerns under centralized training paradigms. …"
-
1103
-
1104
-
1105
SPIDER (v2): Synthetic Person Information Dataset for Entity Resolution
منشور في 2025"…<p dir="ltr">SPIDER (v2) – Synthetic Person Information Dataset for Entity Resolution provides researchers with ready-to-use data for benchmarking Duplicate or Entity Resolution algorithms. …"
-
1106
XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm
منشور في 2024"…With the recent developments in machine learning (ML) technology, ML and data analytic techniques are significantly being used for quantitative structure-activity relationship (QSAR) in the chemistry domain toward knowledge discovery where the traditional Edisonian methods have not been useful. …"
-
1107
Prediction of Activity and Selectivity Profiles of Sigma Receptor Ligands Using Machine Learning Approaches
منشور في 2025"…High-quality data sets were curated from public and in-house source; in turn, the data sets were systematically organized and processed for each workflow. …"
-
1108
PLOS Open Science Indicators
منشور في 2025"…The v10 dataset focuses on detection of five Open Science practices by analysing the XML of published research articles:</p><ul><li>Sharing of research data, in particular data shared in data repositories</li><li>Sharing of code</li><li>Posting of preprints</li><li>Sharing of protocols</li><li>Sharing of study registrations</li></ul><p dir="ltr">The dataset provides data and code generation and sharing rates, the location of shared data and code (whether in Supporting Information or in an online repository). …"
-
1109
-
1110
-
1111
-
1112
Data Sheet 2_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.pdf
منشور في 2025"…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. …"
-
1113
Data Sheet 1_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.pdf
منشور في 2025"…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. …"
-
1114
Neighborhood operators (actions) in Q-learning.
منشور في 2025"…This study presents a Q-learning-enhanced NSGA-II (QLNSGA-II) algorithm that integrates the adaptive policy optimization of Q-learning with the elitist selection of NSGA-II to dynamically adjust crossover and mutation rates based on real-time performance metrics. …"
-
1115
-
1116
-
1117
-
1118
TreeMap 2016 Forest Type Algorithm (Image Service)
منشور في 2024"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"
-
1119
-
1120
Video 1_A machine learning algorithm to predict treatment effectiveness for Kawasaki disease in China: a retrospective model development and validation study.mp4
منشور في 2025"…</p>Results<p>The CatBoost machine learning algorithm achieved the best comprehensive results (AUC: 0·960; sensitivity: 0·883; specificity: 0·889, and accuracy: 0·887). …"