語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Machine learning methods in systems = proceedings of 13th Computer Science On-line Conference 2024.. Vol. 4 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Machine learning methods in systems/ edited by Radek Silhavy, Petr Silhavy.
其他題名:
proceedings of 13th Computer Science On-line Conference 2024.
其他作者:
Silhavy, Petr.
團體作者:
Workshop on the Preservation of Stability under Discretization
出版者:
Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:
xv, 520 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Software Engineering. -
電子資源:
https://doi.org/10.1007/978-3-031-70595-3
ISBN:
9783031705953
Machine learning methods in systems = proceedings of 13th Computer Science On-line Conference 2024.. Vol. 4 /
Machine learning methods in systems
proceedings of 13th Computer Science On-line Conference 2024.Vol. 4 /[electronic resource] :edited by Radek Silhavy, Petr Silhavy. - Cham :Springer Nature Switzerland :2024. - xv, 520 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,11262367-3389 ;. - Lecture notes in networks and systems ;v.1..
This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative application of machine learning techniques in developing and optimizing systems. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024.
ISBN: 9783031705953
Standard No.: 10.1007/978-3-031-70595-3doiSubjects--Topical Terms:
669632
Software Engineering.
LC Class. No.: Q334 / .C66 2024
Dewey Class. No.: 006.3
Machine learning methods in systems = proceedings of 13th Computer Science On-line Conference 2024.. Vol. 4 /
LDR
:01609nam a2200325 a 4500
001
1138368
003
DE-He213
005
20241024125753.0
006
m d
007
cr nn 008maaau
008
250117s2024 sz s 0 eng d
020
$a
9783031705953
$q
(electronic bk.)
020
$a
9783031705946
$q
(paper)
024
7
$a
10.1007/978-3-031-70595-3
$2
doi
035
$a
978-3-031-70595-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q334
$b
.C66 2024
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
090
$a
Q334
$b
.C738 2024
111
2
$a
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
245
1 0
$a
Machine learning methods in systems
$h
[electronic resource] :
$b
proceedings of 13th Computer Science On-line Conference 2024.
$n
Vol. 4 /
$c
edited by Radek Silhavy, Petr Silhavy.
260
$a
Cham :
$c
2024.
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
300
$a
xv, 520 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Lecture notes in networks and systems,
$x
2367-3389 ;
$v
1126
520
$a
This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative application of machine learning techniques in developing and optimizing systems. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024.
650
2 4
$a
Software Engineering.
$3
669632
650
1 4
$a
Computational Intelligence.
$3
768837
650
0
$a
Software engineering
$v
Congresses.
$3
528500
650
0
$a
Machine learning
$v
Congresses.
$3
574552
$3
727808
650
0
$a
Artificial intelligence
$3
671585
700
1
$a
Silhavy, Petr.
$3
1228387
700
1
$a
Silhavy, Radek.
$3
1107908
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in networks and systems ;
$v
v.1.
$3
1107910
856
4 0
$u
https://doi.org/10.1007/978-3-031-70595-3
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入