Timeline of the development of AI algorithms. Key machine learning (ML) algorithms include PCA, K-Means, Decision Trees, SVM, and RF, while significant deep learning (DL ... in machine learning (ML).

Data preparation flow diagram. In machine learning, it is essential to distinguish between ... The study found that gradient boosting, random forest, and bagging algorithms outperformed KNN and ...

In order to reduce the impact of imbalance samples on load identification, the SVM SMOTE algorithm is used to balance the samples. Based on the deep ... machine learning models such as extreme ...

Researchers have successfully employed an algorithm to identify potential ... identifies "open" regions of the genome, and PRINT, a deep-learning-based method to detect these types of footprints ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

This, in turn, opens up a new research direction for both the theory and applications of machine learning. Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, ...