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, Optimization, and ...
~
Jansen, Giorgio.
Machine Learning, Optimization, and Data Science = 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Machine Learning, Optimization, and Data Science/ edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, Renato Umeton.
其他題名:
6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II /
其他作者:
Umeton, Renato.
面頁冊數:
XXXVIII, 666 p. 211 illus., 179 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computing Milieux. -
電子資源:
https://doi.org/10.1007/978-3-030-64580-9
ISBN:
9783030645809
Machine Learning, Optimization, and Data Science = 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II /
Machine Learning, Optimization, and Data Science
6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II /[electronic resource] :edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, Renato Umeton. - 1st ed. 2020. - XXXVIII, 666 p. 211 illus., 179 illus. in color.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;12566. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
ISBN: 9783030645809
Standard No.: 10.1007/978-3-030-64580-9doiSubjects--Topical Terms:
669921
Computing Milieux.
LC Class. No.: QA76.76.A65
Dewey Class. No.: 004
Machine Learning, Optimization, and Data Science = 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II /
LDR
:02271nam a22003975i 4500
001
1031139
003
DE-He213
005
20210106184923.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030645809
$9
978-3-030-64580-9
024
7
$a
10.1007/978-3-030-64580-9
$2
doi
035
$a
978-3-030-64580-9
050
4
$a
QA76.76.A65
072
7
$a
UB
$2
bicssc
072
7
$a
COM018000
$2
bisacsh
072
7
$a
UB
$2
thema
082
0 4
$a
004
$2
23
245
1 0
$a
Machine Learning, Optimization, and Data Science
$h
[electronic resource] :
$b
6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II /
$c
edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, Renato Umeton.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XXXVIII, 666 p. 211 illus., 179 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Information Systems and Applications, incl. Internet/Web, and HCI ;
$v
12566
520
$a
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
650
2 4
$a
Computing Milieux.
$3
669921
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Computers and Education.
$3
669806
650
2 4
$a
Machine Learning.
$3
1137723
650
1 4
$a
Computer Applications.
$3
669785
650
0
$a
Computers.
$3
565115
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Education—Data processing.
$3
1253610
650
0
$a
Machine learning.
$3
561253
650
0
$a
Application software.
$3
528147
700
1
$a
Umeton, Renato.
$e
editor.
$1
https://orcid.org/0000-0002-5561-6932
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1288642
700
1
$a
Giuffrida, Giovanni.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1273734
700
1
$a
Pardalos, Panos.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
883740
700
1
$a
Sciacca, Vincenzo.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1297970
700
1
$a
Jansen, Giorgio.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1328206
700
1
$a
La Malfa, Emanuele.
$e
editor.
$1
https://orcid.org/0000-0002-6254-0470
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1328205
700
1
$a
Ojha, Varun.
$e
editor.
$1
https://orcid.org/0000-0002-9256-1192
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1328204
700
1
$a
Nicosia, Giuseppe.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
786268
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030645793
776
0 8
$i
Printed edition:
$z
9783030645816
830
0
$a
Information Systems and Applications, incl. Internet/Web, and HCI ;
$v
9149
$3
1253558
856
4 0
$u
https://doi.org/10.1007/978-3-030-64580-9
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
912
$a
ZDB-2-LNC
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
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