Machine Learning: Science and Technology (Record no. 40806)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00879nas a22002297a 4500 |
| DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200515093800.0 |
| PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cz aa aaaaa |
| FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200428c q||poo|||| 00| 0 eng d |
| INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 2632-2153 |
| CATALOGING SOURCE | |
| Transcribing agency | oclc |
| DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 530 |
| Item number | JOU/P |
| TITLE STATEMENT | |
| Title | Machine Learning: Science and Technology |
| Medium | e-Journal (Open Access) |
| PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | IOP Publishing, |
| PHYSICAL DESCRIPTION | |
| Extent | PDF(online) |
| CURRENT PUBLICATION FREQUENCY | |
| Current publication frequency | Quarterly |
| TRADE PRICE | |
| Price note | Open Access |
| GENERAL NOTE | |
| General note | Machine Learning: Science and Technology is a multidisciplinary, open access journal publishing research of the highest quality relating to the application and development of machine learning for the sciences. |
| SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 2317 |
| Topical term or geographic name entry element | Natural sciences & mathematics |
| Form subdivision | Physics |
| INDEX TERM--GENRE/FORM | |
| 9 (RLIN) | 2257 |
| Genre/form data or focus term | e-Journal |
| ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://iopscience.iop.org/journal/2632-2153 |
| ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | e-Journal |
| Classification part | 530 |
| Call number prefix | 530 |
| Call number suffix | JOU/P |
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