Background:
The machine learning has penetrated into various fields, such as unmanned vehicle, intelligent answer, intelligent translation, smart grid, weather forecast, stock forecast, face comparison, voice print ratio, etc. Many other interesting applications, such as intelligent illustration, automatic poetry, automatic composition, can be completed through machine learning. However, with the rapid development of machine learning, some new problems and challenges inevitably arise, which requires the continuous development of original and more powerful technologies while paying attention to their practical applications.
Goal/Rationale:
The goal of this workshop is to cover the significant advances in applied machine learning, including but not limited to novel method design concept, online real time computing technology based on machine learning, hardware implementation of machine learning, simulation of information process of human consciousness and thinking by using machine learning, and novel application of machine learning.
Scope and Information for Participants:
The primary objective of the "Machine Learning Theory and Applications Workshop 2025" is to foster an intense exchange of ideas and facilitate discussions on the latest advancements in machine learning and its diverse applications. This workshop seeks to address the growing demand for innovative machine learning methods, particularly in fields such as image processing, machine olfaction, signal processing, natural language processing. By bringing together researchers, practitioners, and students, this workshop aims to overcome current bottlenecks and enhance human decision-making capabilities through cutting-edge machine learning techniques.
Both students and faculty are invited to participate, ensuring a vibrant exchange of knowledge and ideas. Participants are encouraged to submit research papers on topics including, but not limited to, image processing, machine olfaction, signal processing, natural language processing, soft computing, affective computing, and neural networks.