語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Recent trends in learning from datat...
~
(1998 :)
Recent trends in learning from datatutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Recent trends in learning from dataedited by Luca Oneto ... [et al.].
其他題名:
tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
其他題名:
INNSBDDL 2019
其他作者:
Oneto, Luca.
團體作者:
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
vii, 221 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Big dataCongresses.
電子資源:
https://doi.org/10.1007/978-3-030-43883-8
ISBN:
9783030438838$q(electronic bk.)
Recent trends in learning from datatutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
Recent trends in learning from data
tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /[electronic resource] :INNSBDDL 2019edited by Luca Oneto ... [et al.]. - Cham :Springer International Publishing :2020. - vii, 221 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8961860-949X ;. - Studies in computational intelligence ;v. 216..
Introduction: Recent Trends in Learning From Data -- Learned data structures -- Deep Randomized Neural Networks -- Tensor Decompositions and Practical Applications -- Deep learning for graphs -- Limitations of Shallow Networks -- Fairness in Machine Learning -- Online Continual Learning on Sequences.
This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.
ISBN: 9783030438838$q(electronic bk.)
Standard No.: 10.1007/978-3-030-43883-8doiSubjects--Topical Terms:
592065
Big data
--Congresses.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Recent trends in learning from datatutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
LDR
:02061nmm a2200349 a 4500
001
572736
003
DE-He213
005
20200805092442.0
006
m d
007
cr nn 008maaau
008
200925s2020 sz s 0 eng d
020
$a
9783030438838$q(electronic bk.)
020
$a
9783030438821$q(paper)
024
7
$a
10.1007/978-3-030-43883-8
$2
doi
035
$a
978-3-030-43883-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.B45
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
005.7
$2
23
090
$a
QA76.9.B45
$b
I58 2019
111
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
245
1 0
$a
Recent trends in learning from data
$h
[electronic resource] :
$b
tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
$c
edited by Luca Oneto ... [et al.].
246
3
$a
INNSBDDL 2019
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
vii, 221 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Studies in computational intelligence,
$x
1860-949X ;
$v
v.896
505
0
$a
Introduction: Recent Trends in Learning From Data -- Learned data structures -- Deep Randomized Neural Networks -- Tensor Decompositions and Practical Applications -- Deep learning for graphs -- Limitations of Shallow Networks -- Fairness in Machine Learning -- Online Continual Learning on Sequences.
520
$a
This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.
650
0
$a
Big data
$v
Congresses.
$3
592065
650
0
$a
Machine learning
$v
Congresses.
$3
384498
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Machine Learning.
$3
833608
650
2 4
$a
Data Engineering.
$3
839346
700
1
$a
Oneto, Luca.
$3
859894
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Studies in computational intelligence ;
$v
v. 216.
$3
380871
856
4 0
$u
https://doi.org/10.1007/978-3-030-43883-8
950
$a
Intelligent Technologies and Robotics (Springer-42732)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000179347
電子館藏
1圖書
電子書
EB QA76.9.B45 I58 2019 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-43883-8
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入