Title:
Probabilistic Topic Models Foundation and Application
Author:
Jiang, Di. author.
ISBN:
9789819924318
Edition:
1st ed. 2023.
Physical Description:
X, 149 p. 1 illus. online resource.
Contents:
Chapter 1. Basics -- Chapter 2. Topic Models -- 3. Chapter 3. Pre-processing of Training Data -- Chapter 4. Expectation Maximization -- Chapter 5. Markov Chain Monte Carlo Sampling -- Chapter 6. Variational Inference -- Chapter 7. Distributed Training -- Chapter 8. Parameter Setting -- Chapter 9. Topic Deduplication and Model Compression -- Chapter 10. Applications.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-99-2431-8Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 520452-1001 | XX(520452.1) | Searching... | Searching... |