語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Restless multi-armed bandit in oppor...
~
Wang, Kehao.
FindBook
Google Book
Amazon
博客來
Restless multi-armed bandit in opportunistic scheduling
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Restless multi-armed bandit in opportunistic scheduling/ by Kehao Wang, Lin Chen.
作者:
Wang, Kehao.
其他作者:
Chen, Lin.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xii, 151 p. :ill., digital ;24 cm.
內容註:
Introduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion.
Contained By:
Springer Nature eBook
標題:
Wireless communication systems - Mathematical models. -
電子資源:
https://doi.org/10.1007/978-3-030-69959-8
ISBN:
9783030699598
Restless multi-armed bandit in opportunistic scheduling
Wang, Kehao.
Restless multi-armed bandit in opportunistic scheduling
[electronic resource] /by Kehao Wang, Lin Chen. - Cham :Springer International Publishing :2021. - xii, 151 p. :ill., digital ;24 cm.
Introduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion.
This book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems. The book provides a systematic treatment of the theoretical foundation and algorithmic tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book are of both fundamental and practical importance. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on stochastic scheduling and their applications, both from theoretical and engineering perspective. Introduces Restless Multi-Armed Bandit (RMAB) and presents its relevant tools involved in machine learning and how to adapt them for application; Elaborates on research bringing the conventional decision theory and stochastic optimal technology into wireless communication applications involving machine learning; Delivers a comprehensive treatment on problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization.
ISBN: 9783030699598
Standard No.: 10.1007/978-3-030-69959-8doiSubjects--Topical Terms:
923148
Wireless communication systems
--Mathematical models.
LC Class. No.: TK5103.2 / .W36 2021
Dewey Class. No.: 621.3845
Restless multi-armed bandit in opportunistic scheduling
LDR
:02475nmm a2200325 a 4500
001
2240661
003
DE-He213
005
20210519113114.0
006
m d
007
cr nn 008maaau
008
211111s2021 sz s 0 eng d
020
$a
9783030699598
$q
(electronic bk.)
020
$a
9783030699581
$q
(paper)
024
7
$a
10.1007/978-3-030-69959-8
$2
doi
035
$a
978-3-030-69959-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK5103.2
$b
.W36 2021
072
7
$a
TJK
$2
bicssc
072
7
$a
TEC041000
$2
bisacsh
072
7
$a
TJK
$2
thema
082
0 4
$a
621.3845
$2
23
090
$a
TK5103.2
$b
.W246 2021
100
1
$a
Wang, Kehao.
$3
3495787
245
1 0
$a
Restless multi-armed bandit in opportunistic scheduling
$h
[electronic resource] /
$c
by Kehao Wang, Lin Chen.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xii, 151 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Introduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion.
520
$a
This book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems. The book provides a systematic treatment of the theoretical foundation and algorithmic tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book are of both fundamental and practical importance. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on stochastic scheduling and their applications, both from theoretical and engineering perspective. Introduces Restless Multi-Armed Bandit (RMAB) and presents its relevant tools involved in machine learning and how to adapt them for application; Elaborates on research bringing the conventional decision theory and stochastic optimal technology into wireless communication applications involving machine learning; Delivers a comprehensive treatment on problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization.
650
0
$a
Wireless communication systems
$x
Mathematical models.
$3
923148
650
0
$a
Computer scheduling.
$3
944065
650
1 4
$a
Communications Engineering, Networks.
$3
891094
650
2 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Machine Learning.
$3
3382522
700
1
$a
Chen, Lin.
$3
1017615
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-69959-8
950
$a
Engineering (SpringerNature-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9402546
電子資源
11.線上閱覽_V
電子書
EB TK5103.2 .W36 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入