Unsupervised bayesian generative methods

• Main Author: Li, Shaohua
• Other Authors: Miao Chun Yan
• Format: Theses and Dissertations
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/68876
• Institution: Nanyang Technological University

Unsupervised Learning is a type of machine learning algorithm for learning hidden structures from unlabeled data only. Probabilistic generative models are recent development in unsupervised learning. The generative modeling framework can model rich structures and learn diverse types of relations wit...