Undergraduate Theses
Pattern Recognition and Machine Learning
| Identifier | --christophe-1524 |
|---|---|
| Penulis / Pengarang | Christopher M. Bishop |
| Kata Kunci | Pattern Recognition and Machine Learning |
| Tanggal Publikasi | 29 Mar 2006 |
| Bahasa | Bahasa Indonesia |
| Abstrak / Deskripsi | Akaike and Kitagawa: The Practice of Time Series Analysis. Bishop: Pattern Recognition and Machine Learning. Cowell, Dawid, Lauritzen, and Spiegelhalter: Probabilistic Networks and Expert Systems. Doucet, de Freitas, and Gordon: Sequential Monte Carlo Methods in Practice. Fine: Feedforward Neural Network Methodology. Hawkins and Olwell: Cumulative Sum Charts and Charting for Quality Improvement. Jensen: Bayesian Networks and Decision Graphs. Marchette: Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint. Rubinstein and Kroese: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte Carlo Simulation, and Machine Learning. Studený: Probabilistic Conditional Independence Structures. Vapnik: The Nature of Statistical Learning Theory, Second Edition. Wallace: Statistical and Inductive Inference by Minimum Massage Length. |
Attached Files / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf | application/pdf | 17,3 MB | ⬇️ Buka / Download |
Comments & Discussion (0)
Belum ada komentar untuk koleksi ini. Jadilah yang pertama berdiskusi!