| LDR | | 01769nam u200421 4500 |
| 001 | | 000000418552 |
| 005 | | 20190215162945 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438401969 |
| 035 | |
▼a (MiAaPQ)AAI10843333 |
| 035 | |
▼a (MiAaPQ)umd:19319 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 519 |
| 100 | 1 |
▼a Njeunje, Franck Olivier Ndjakou. |
| 245 | 10 |
▼a Computational Methods in Machine Learning: Transport Model, Haar Wavelet, DNA Classification, and MRI. |
| 260 | |
▼a [S.l.]:
▼b University of Maryland, College Park.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 161 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
| 500 | |
▼a Advisers: Wojciech K. Czaja |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Maryland, College Park, 2018. |
| 520 | |
▼a With the increasing amount of raw data generation produced every day, it has become pertinent to develop new techniques for data representation, analyses, and interpretation. Motivated by real-world applications, there is a trending interest in |
| 590 | |
▼a School code: 0117. |
| 650 | 4 |
▼a Applied mathematics. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Statistics. |
| 690 | |
▼a 0364 |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0463 |
| 710 | 20 |
▼a University of Maryland, College Park.
▼b Applied Mathematics and Scientific Computation. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0117 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999923
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |