Energy-Based Models with Applications to Speech and Language Processing

by Zhijian Ou

Energy-Based Models (EBMs) are an important class of probabilistic models, also known as random fields and undirected graphical models. EBMs are un-normalized and thus radically different from other popular self-normalized probabilistic models such as hidden Markov models (HMMs), autoregressive models, generative adversarial nets (GANs) and variational auto-encoders (VAEs). Over the past years, EBMs have attracted increasing interest not only from...

• Format: Paperback
• Language: English
• ISBN: 1638283060
• ISBN13: 9781638283065
• Release Date: March 2024
• Publisher: Now Publishers
• Length: 222 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"