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20251008112138.0 |
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m o d |
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240105s2023 xr a eo 000 0 eng d |
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|c 109652
|d 109652
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|a 978-80-7678-221-1
|q (online ;
|q pdf)
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|a ZLD002
|b cze
|e rda
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|a eng
|b eng
|b cze
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| 072 |
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|a 004
|x Počítačová věda. Výpočetní technika. Informační technologie
|2 Konspekt
|9 23
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| 080 |
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|a 519.233.5
|2 MRF
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| 080 |
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|a 004.852
|2 MRF
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|a 004.4
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|a (048.3)
|2 MRF
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|a (043.3)
|2 MRF
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|a (0.034.2)
|2 MRF
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| 100 |
1 |
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|a Huynh Thai, Hoc
|4 dis
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|a Regression Models for Software Project Effort Estimation =
|b Regresní modely pro odhad úsilí softwarového projektu : teze disertační práce /
|c Huynh Thai Hoc
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| 246 |
3 |
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|a Regresní modely pro odhad úsilí softwarového projektu
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|a Zlín :
|b Univerzita Tomáše Bati ve Zlíně,
|c 2023
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4 |
|c ©
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| 300 |
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|a 1 online zdroj
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a počítač
|b c
|2 rdamedia
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| 338 |
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|a online zdroj
|b cr
|2 rdacarrier
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| 500 |
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|a Studijní program: P3902-Engineering Informatics
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| 500 |
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|a Školitel: Zdenka Prokopová
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|a Teze disertační práce (Ph.D.)--Univerzita Tomáše Bati ve Zlíně, Fakulta aplikované informatiky, 2023
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|a Obsahuje bibliografii
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| 546 |
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|a Text anglicky, resumé anglicky a česky
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7 |
|a regresní modely
|7 ph613266
|2 czenas
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| 650 |
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7 |
|a hluboké učení
|7 ph1042930
|2 czenas
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| 650 |
0 |
7 |
|a software
|7 ph125823
|2 czenas
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| 650 |
0 |
9 |
|a regression models
|2 eczenas
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| 650 |
0 |
9 |
|a deep learning
|2 eczenas
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| 650 |
0 |
9 |
|a software
|2 eczenas
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| 653 |
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|a LIME
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| 653 |
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|a SHAP
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| 655 |
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|a teze
|7 fd133701
|2 czenas
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| 655 |
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|a disertace
|7 fd132024
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| 655 |
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|a elektronické zdroje
|7 fd186922
|2 czenas
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| 655 |
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|a abstracts
|2 eczenas
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| 655 |
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|a dissertations
|2 eczenas
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| 655 |
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9 |
|a electronic resources
|2 eczenas
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| 700 |
1 |
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|a Prokopová, Zdenka,
|d 1965-
|7 xx0007717
|4 ths
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| 710 |
2 |
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|a Univerzita Tomáše Bati ve Zlíně.
|b Fakulta aplikované informatiky
|7 mzk2006318344
|4 dgg
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| 856 |
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|u https://digilib.k.utb.cz/handle/10563/52492
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|a ZLD002
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|2 udc
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|a BK
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|x NEPOSILAT
|y EIZ
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