Modulating scalable Gaussian processes for expressive statistical learning

• المؤلفون الرئيسيون: Liu, Haitao, Ong, Yew-Soon, Jiang, Xiaomo, Wang, Xiaofang
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Gaussian Process; Modulation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162582
• المؤسسة: Nanyang Technological University

For a learning task, Gaussian process (GP) is interested in learning the statistical relationship between inputs and outputs, since it offers not only the prediction mean but also the associated variability. The vanilla GP however is hard to learn complicated distribution with the property of, e.g.,...