Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

Abstract: The present paper addresses the relevance of incorporating terrain data for analyzing satellite images in mapping land use and land cover in the Cerrado biome. Assuming that terrain ...

This study presents a hybridized model integrating software defect prediction and cost estimation using machine learning techniques. Leveraging Support Vector Machines (SVM) for classification and ...

This article explores the top 10 ML algorithms essential for quality assurance, from Decision Trees for defect prediction to Neural Networks for automated test generation, helping test engineers ...

Support Vector Machine is another machine-learning algorithm used for classification and regression problems. The dataset is separated using a maximal margin classifier if the dataset is linearly ...

About this issue Abstract To solve the problem of difficult quantitative identification of surface defect depth during laser ultrasonic inspection, a support vector machine-based method for ...

This approach utilizes the Cleveland dataset by combining the Artificial Flora Optimization algorithm with the Support Vector Machine. The proposed algorithm functions as a meticulous gardener, ...

Support Vector Machine is a versatile and powerful algorithm for classification and regression tasks. Its ability to handle high-dimensional data, its robustness to outliers, and its ability to learn ...