책 이미지
eBook 미리보기
책 정보
· 제목 : Universal Features for High-Dimensional Learning and Inference (Paperback)
· 분류 : 외국도서 > 컴퓨터 > 정보이론
· ISBN : 9781638281764
· 쪽수 : 320쪽
· 출판일 : 2024-02-05
· 분류 : 외국도서 > 컴퓨터 > 정보이론
· ISBN : 9781638281764
· 쪽수 : 320쪽
· 출판일 : 2024-02-05
목차
- 1. Introduction
- 2. The Modal Decomposition of Joint Distributions
- 3. Variational Characterization of the Modal Decomposition
- 4. Local Information Geometry
- 5. Universal Feature Characterizations
- 6. Learning Modal Decompositions
- 7. Collaborative Filtering and Matrix Factorization
- 8. Softmax Regression
- 9. Gaussian Distributions and Linear Features
- 10. Nonlinear Features and nonGaussian Distributions
- 11. Semi-Supervised Learning
- 12. Modal Decomposition of Markov Random Fields
- 13. Emerging Applications and Related Developments
- Acknowledgements
- Appendices
- References
