Ensemble of learning algorithms. حسب Ali Erkan (18309359)

Different machine learning algorithms with types. حسب Md. Merajul Islam (12646837)

Variables used in machine learning algorithms. حسب Pejman Peykani (9510059)

Arc strengths obtained using different structure learning algorithms. حسب Mandana Rezaeiahari (11614313)

"…<p>Arc strengths obtained using different structure learning algorithms.</p>…"

Compare different datasets using the same algorithm. حسب Qingtao Zeng (6270308)

"…<p>Compare different datasets using the same algorithm.</p>…"

Evaluation of pre-treatment models using different machine learning algorithms. حسب Yiran Li (1818355)

"…<p>Evaluation of pre-treatment models using different machine learning algorithms.</p>…"

Evaluation of post-treatment models using different machine learning algorithms. حسب Yiran Li (1818355)

"…<p>Evaluation of post-treatment models using different machine learning algorithms.</p>…"

A summary of the algorithm used in the literature for different objectives. حسب Md Abdur Razzak (9659144)

"…<p>A summary of the algorithm used in the literature for different objectives.…"

Comparison of different algorithms on TIMIT dataset. حسب Sania Gul (18272227)

General structure of Camelyon algorithms. حسب Christina Fell (14209857)

الموضوعات:

Iteration curves of different algorithms. حسب Tengfei Ma (597633)

"…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …"

Algorithms used in this study. حسب Daniel Sanchez-Gomez (19065975)

"…This allowed us to develop a machine learning-based framework for the prediction of bead-forming minerals by training and benchmarking 13 of the most widely used supervised algorithms. …"

Parameters used for the PPO algorithm. حسب Paul Ecoffet (12463041)

The accuracy of all employed learning algorithms. حسب Quan Shao (20148209)

Algorithm for optimizing the model using transformer. حسب Weiling Liu (1465480)

Comparison of results of different algorithms. حسب Zhongzhong Guo (12133402)

Testing performance comparison for different algorithms. حسب Roberto Bárcenas (13924220)

Training performance comparison for different algorithms. حسب Roberto Bárcenas (13924220)

Using the seven different machine learning algorithms on the Principal Components after using PCA, we get that the Logistic Algorithm gives us the best result. حسب Debashis Chatterjee (1790896)

Pairwise comparison of the machine learning algorithms using Student’s t test. حسب Ephrem Habyarimana (5848568)