Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems,
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Trang chủ ›
Tài liệu ›
Công nghệ thông tin ›
An toàn thông tin ›
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
| Người gửi: | Phí Đình Thảo |
| Ngày đăng: | 02/05/2023 |
| Đánh giá: |
|
| Votes: | 0 |
| Nhận xét: | 0 |
| Lượt xem: | 231 |
| Download: | 0 |
| Loại tài liệu: | Free |
Mô tả:
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems,
Tài liệu tương tự
Mua lượt tải
Tiết kiệm chi phí
Số ngày hết hạn tính theo gói cao nhất còn giá trị
Với nhiều ưu đãi hấp dẫn
