Challenges in Evaluating Interactive Visual Machine Learning Systems
نویسندگان
چکیده
منابع مشابه
Machine Learning for Interactive Systems: Challenges and Future Trends
Machine learning has been introduced more than 40 years ago in interactive systems through speech recognition or computer vision. Since that, machine learning gained in interest in the scientific community involved in humanmachine interaction and raised in the abstraction scale. It moved from fundamental signal processing to language understanding and generation, emotion and mood recognition an...
متن کاملOpportunities and Challenges in Evaluating Interactive Information Retrieval Systems
Information retrieval or search plays an important role in a wide range of information management and electronic commerce tasks. In spite of the importance of information retrieval, search systems are often poorly designed. The goal of this SIG is to articulate some of the opportunities and challenges in improving and evaluating highly interactive information retrieval systems. Author
متن کاملEvaluation of Interactive Machine Learning Systems
The evaluation of interactive machine learning systems remains a difficult task. These systems learn from and adapt to the human, but at the same time, the human receives feedback and adapts to the system. Getting a clear understanding of these subtle mechanisms of co-operation and co-adaptation is challenging. In this chapter, we report on our experience in designing and evaluating various int...
متن کاملLearning Visual Representations for Interactive Systems
We describe two quite different methods for associating action parameters to visual percepts. Our RLVC algorithm performs reinforcement learning directly on the visual input space. To make this very large space manageable, RLVC interleaves the reinforcement learner with a supervised classification algorithm that seeks to split perceptual states so as to reduce perceptual aliasing. This results ...
متن کاملMachine learning based Visual Evoked Potential (VEP) Signals Recognition
Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Computer Graphics and Applications
سال: 2020
ISSN: 0272-1716,1558-1756
DOI: 10.1109/mcg.2020.3017064