| 000 | 00823camuu2200265 a 4500 | |
| 001 | 000000022611 | |
| 005 | 20040308135045 | |
| 008 | 920204s1992 maua b 001 0 eng | |
| 010 | ▼a 92007073 | |
| 020 | ▼a 0120588307 (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d DLC | |
| 041 | 0 | ▼a engjpn |
| 049 | 1 | ▼l 111023314 |
| 050 | 0 0 | ▼a Q327 ▼b .A5813 1992 |
| 082 | 0 0 | ▼a 006.3/7 ▼2 20 |
| 090 | ▼a 006.3 ▼b A637pE | |
| 100 | 1 | ▼a Anzai, Yuichiro , ▼d 1946-. |
| 240 | 1 0 | ▼a Ninshiki to gakushmu. ▼l English |
| 245 | 1 0 | ▼a Pattern recognition and machine learning / ▼c Yuichiro Anzai. |
| 260 | ▼a Boston : ▼b Academic Press , ▼c c1992. | |
| 300 | ▼a xvi, 407 p. : ▼b ill. ; ▼c 24 cm. | |
| 504 | ▼a Includes bibliographical references (p. 387-402) and index. | |
| 650 | 0 | ▼a Machine learning. |
| 650 | 0 | ▼a Pattern perception. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 학술정보관(CDL)/B1 국제기구자료실(보존서고8)/ | 청구기호 006.3 A637pE | 등록번호 111023314 (4회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 006.37 A637pE | 등록번호 151004959 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 학술정보관(CDL)/B1 국제기구자료실(보존서고8)/ | 청구기호 006.3 A637pE | 등록번호 111023314 (4회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 006.37 A637pE | 등록번호 151004959 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.
정보제공 :
목차
Reader's Guide. Recognition and Learning By a Computer. Representing Information. Generation and Transformation of Representations. Pattern Feature Extraction. Pattern Feature Extraction. Pattern Understanding Methods. Learning Concepts. Learning Procedures. Learning Based on Logic. Learning Procedures. Learning Based on Logic. Learning By Classification and Discovery. Learning By Neural Network. Appendix. Answers to Exercises. Chapter Summaries, Keywords, And Exercises. Chapter References. Index.
정보제공 :