The Significance of Utilizing the dependencies among Labels in Multi Label Classification

• Published in: 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) pp. 1 - 5
• Main Authors: Alzoubi, Haneen, Alzyoud, Mazen, Alazaidah, Raed, Al-shanableh, Najah, Khafajah, Hayel, Almatarneh, Sattam
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27.12.2023
• Subjects: Accuracy; Artificial intelligence; Classification; data mining; Dependencies among labels; machine learning; Measurement; multi-label classification; Search problems; Task analysis

Multi-Label Classification (MLC) is a general type of classification that attracted scholars in the last few years. It imposes a high challenge since the problem search space of MLC is very large and follows an exponential function of growth. Moreover, the accuracy of classification in MLC is still...