classified eye movement types when applying the Random Forest machine learning algorithm, which uses decision trees. They show …

Cognitive knowledge learning (CKL) is a fundamental methodology for cognitive robots and machine learning. Traditional … technologies for machine learning deal with object identification, cluster classification, pattern recognition, functional … robots is implemented based on the ACCE algorithm. Experiments on machine learning for knowledge acquisition reveal that a …

computing where 548 dimensions of music features are extracted and modeled. A set of classifications and machine learning …

objective of this paper is to review the state of the art focusing on machine learning techniques and computer vision as sensor … activities duration is found in the literature. In this paper, a review of the methods and techniques based on machine learning …

power of parallel computing enabled the use of Machine Learning (ML) techniques to take advantage of the processing … hardware infrastructures used in works of machine learning parallel approaches applied to large volumes of data. …

they promote collaborative environments between people and robots. The use of machine learning and computer vision provides …