|
|
|
|
| LEADER |
00000nam a2200000 c 4500 |
| 001 |
1879490137 |
| 003 |
DE-627 |
| 005 |
20240130092757.0 |
| 007 |
tu |
| 008 |
240130s2023 gw ||||| m 00| ||eng c |
| 035 |
|
|
|a (DE-627)1879490137
|
| 035 |
|
|
|a (DE-599)KXP1879490137
|
| 035 |
|
|
|a (OCoLC)1419236040
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
| 041 |
|
|
|a eng
|
| 044 |
|
|
|c XA-DE-BW
|
| 082 |
0 |
4 |
|a 006.31
|q DE-101
|
| 082 |
0 |
4 |
|a 004
|q DE-101
|
| 084 |
|
|
|a 28
|2 sdnb
|
| 084 |
|
|
|a 28
|2 sdnb
|
| 100 |
1 |
|
|a Hagmann, Michael
|d 1981-
|e VerfasserIn
|0 (DE-588)1193940567
|0 (DE-627)1675686564
|4 aut
|
| 245 |
1 |
0 |
|a Comprehensive evaluation of machine learning experiments
|b algorithm comparison, algorithm performance and inferential reproducibility
|c vorgelegt von Michael Hagmann ; Erstgutachter: Prof. Dr. Stefan Riezler, Zweitgutachter: Prof. Dr. Katja Markert
|
| 264 |
|
1 |
|a Heidelberg
|c 07. August 2023
|
| 300 |
|
|
|a ii, 134 Seiten
|b Diagramme
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 502 |
|
|
|b Dissertation
|c Ruprecht-Karls-Universität Heidelberg
|d 2023
|
| 655 |
|
7 |
|a Hochschulschrift
|0 (DE-588)4113937-9
|0 (DE-627)105825778
|0 (DE-576)209480580
|2 gnd-content
|
| 700 |
1 |
|
|a Riezler, Stefan
|e AkademischeR BetreuerIn
|0 (DE-588)1033925454
|0 (DE-627)743677528
|0 (DE-576)381607615
|4 dgs
|
| 710 |
2 |
|
|a Universität Heidelberg
|e Grad-verleihende Institution
|0 (DE-588)2024349-2
|0 (DE-627)102161488
|0 (DE-576)191769517
|4 dgg
|
| 751 |
|
|
|a Heidelberg
|0 (DE-588)4023996-2
|0 (DE-627)106300814
|0 (DE-576)208952578
|4 uvp
|
| 776 |
0 |
8 |
|i Erscheint auch als
|n Online-Ausgabe
|a Hagmann, Michael, 1981 -
|t Comprehensive evaluation of machine learning experiments
|d Heidelberg : Universitätsbibliothek Heidelberg, 2023
|h 1 Online-Ressource (ii, 134 Seiten)
|w (DE-627)1877228702
|
| 951 |
|
|
|a BO
|
| 992 |
|
|
|a 20240130
|
| 993 |
|
|
|a Thesis
|
| 998 |
|
|
|g 1193940567
|a Hagmann, Michael
|m 1193940567:Hagmann, Michael
|d 90000
|d 90001
|e 90000PH1193940567
|e 90001PH1193940567
|k 0/90000/
|k 1/90000/90001/
|p 1
|x j
|y j
|
| 999 |
|
|
|a KXP-PPN1879490137
|e 4472284510
|
| BIB |
|
|
|a Y
|
| JSO |
|
|
|a {"corporate":[{"role":"dgg","display":"Universität Heidelberg"}],"type":{"bibl":"thesis"},"title":[{"title":"Comprehensive evaluation of machine learning experiments","title_sort":"Comprehensive evaluation of machine learning experiments","subtitle":"algorithm comparison, algorithm performance and inferential reproducibility"}],"origin":[{"publisherPlace":"Heidelberg","dateIssuedDisp":"07. August 2023","dateIssuedKey":"2023"}],"person":[{"given":"Michael","role":"aut","family":"Hagmann","display":"Hagmann, Michael"},{"display":"Riezler, Stefan","family":"Riezler","given":"Stefan","role":"dgs"}],"id":{"eki":["1879490137"]},"physDesc":[{"noteIll":"Diagramme","extent":"ii, 134 Seiten"}],"noteThesis":["Dissertation. - Ruprecht-Karls-Universität Heidelberg. - 2023"],"language":["eng"],"name":{"displayForm":["vorgelegt von Michael Hagmann ; Erstgutachter: Prof. Dr. Stefan Riezler, Zweitgutachter: Prof. Dr. Katja Markert"]},"recId":"1879490137"}
|
| SRT |
|
|
|a HAGMANNMICCOMPREHENS0720
|
