東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Machine learning methods in systems = proceedings of 13th Computer Science On-line Conference 2024.. Vol. 4 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning methods in systems/ edited by Radek Silhavy, Petr Silhavy.
Reminder of title:	proceedings of 13th Computer Science On-line Conference 2024.
other author:	Silhavy, Radek.
corporate name:	Computer Science On-line Conference
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xv, 520 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Congresses. -
Online resource:	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 systemsproceedings 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 ;1126..

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:

606815
Artificial intelligence
--Congresses.

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:01609nmm a2200325 a 4500 001 2380285
003 DE-He213
005 20241024125753.0
006 m d
007 cr nn 008maaau
008 250418s2024 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 Computer Science On-line Conference $n (13th : $d 2024 : $c Online) $3 3733618
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 : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
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 0 $a Artificial intelligence $v Congresses. $3 606815
650 0 $a Machine learning $x Congresses. $3 576368
650 0 $a Software engineering $x Congresses. $3 696781
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Software Engineering. $3 890874
700 1 $a Silhavy, Radek. $3 2068382
700 1 $a Silhavy, Petr. $3 3296569
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v 1126. $3 3733628
856 4 0 $u https://doi.org/10.1007/978-3-031-70595-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)