CSDL sách
- Pattern recognition and machine learning
- Tác giả: Christopher M. Bishop
- Nhà xuất bản: Springer - United States of America
- Năm xuất bản: 2009
- Số trang:738 p.
- Kích thước:26 cm
- Số đăng ký cá biệt:44559
- ISBN:9781493938438
- Mã Dewey:006.4
- Đơn giá:0
- Vị trí lưu trữ:03 Quang Trung
- Ngôn ngữ:English
- Loại tài liệu:Sách Chuyên ngành
- Đang rỗi/ Tổng sách:4/5
- Từ khóa:Pattern perception, Machine learning, Pattern recognition systems
- Chủ đề: Pattern recognition systems & Machine learning & Pattern perception & Khoa học Dữ liệu
- Chuyên ngành: Khoa Công Nghệ Thông Tin
- Tóm tắt: Chapter 1: Introduction. Chapter 2: Probability distributions. Chapter 3: Linear model for regression. Chapter 4: Linear models for classification. Chapter 5: Neural networks. Chapter 6. Kernel methods. Chapter 7: Sparse Kernel machines. Chapter 8: Graphical models. Chapter 9: Mixture models and EM. Chapter 10. Approximate inference. Chapter 11: Sampling methods. Chapter 12: Continuous laten variables. Chapter 13. equential data. Chapter 14: Combining models.
- Sách điện tử:http://thuvienso.duytan.edu.vn/handle/123456789/292726
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