| LDR | | 01617nam u200397 4500 |
| 001 | | 000000419160 |
| 005 | | 20190215163444 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438134935 |
| 035 | |
▼a (MiAaPQ)AAI10903668 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 621 |
| 100 | 1 |
▼a Hauser, Michael. |
| 245 | 10 |
▼a Principles of Riemannian Geometry in Neural Networks. |
| 260 | |
▼a [S.l.]:
▼b The Pennsylvania State University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 156 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The Pennsylvania State University, 2018. |
| 520 | |
▼a The first part of this dissertation deals with neural networks in the sense of geometric transformations acting on the coordinate representation of the underlying data manifold from which the data is sampled. It forms part of an attempt to const |
| 590 | |
▼a School code: 0176. |
| 650 | 4 |
▼a Mechanical engineering. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Theoretical physics. |
| 690 | |
▼a 0548 |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0753 |
| 710 | 20 |
▼a The Pennsylvania State University.
▼b Mechanical and Nuclear Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0176 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000661
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |