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
Software verification and formal met...
~
International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems (2022 :)
FindBook
Google Book
Amazon
博客來
Software verification and formal methods for ML-enabled autonomous systems = 5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Software verification and formal methods for ML-enabled autonomous systems/ edited by Omri Isac ... [et al.].
其他題名:
5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022 : proceedings /
其他題名:
FoMLAS 2022
其他作者:
Isac, Omri.
團體作者:
International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
x, 205 p. :ill., digital ;24 cm.
內容註:
FoMLAS 2022 -- VPN: Verification of Poisoning in Neural Networks -- A Cascade of Checkers for Run-time Certification of Local Robustness -- CEG4N: Counter-Example Guided Neural Network Quantization Refinement -- Minimal Multi-Layer Modifications of Deep Neural Networks -- Differentiable Logics for Neural Network Training and Verification -- Neural Networks in Imandra: Matrix Representation as a Verification Choice -- Self-Correcting Neural Networks For Safe Classification -- Self-Correcting Neural Networks For Safe Classification -- NSV 2022 -- Verified Numerical Methods for Ordinary Differential Equations -- Neural Network Precision Tuning Using Stochastic Arithmetic -- MLTL Multi-type (MLTLM): A Logic for Reasoning about Signals of Different Types.
Contained By:
Springer Nature eBook
標題:
Computer software - Congresses. - Verification -
電子資源:
https://doi.org/10.1007/978-3-031-21222-2
ISBN:
9783031212222
Software verification and formal methods for ML-enabled autonomous systems = 5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022 : proceedings /
Software verification and formal methods for ML-enabled autonomous systems
5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022 : proceedings /[electronic resource] :FoMLAS 2022edited by Omri Isac ... [et al.]. - Cham :Springer International Publishing :2022. - x, 205 p. :ill., digital ;24 cm. - Lecture notes in computer science,134660302-9743 ;. - Lecture notes in computer science ;13466..
FoMLAS 2022 -- VPN: Verification of Poisoning in Neural Networks -- A Cascade of Checkers for Run-time Certification of Local Robustness -- CEG4N: Counter-Example Guided Neural Network Quantization Refinement -- Minimal Multi-Layer Modifications of Deep Neural Networks -- Differentiable Logics for Neural Network Training and Verification -- Neural Networks in Imandra: Matrix Representation as a Verification Choice -- Self-Correcting Neural Networks For Safe Classification -- Self-Correcting Neural Networks For Safe Classification -- NSV 2022 -- Verified Numerical Methods for Ordinary Differential Equations -- Neural Network Precision Tuning Using Stochastic Arithmetic -- MLTL Multi-type (MLTLM): A Logic for Reasoning about Signals of Different Types.
This book constitutes the refereed proceedings of the 5th International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th International Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022. The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methods techniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabled autonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine learning components.
ISBN: 9783031212222
Standard No.: 10.1007/978-3-031-21222-2doiSubjects--Topical Terms:
844546
Computer software
--Verification--Congresses.
LC Class. No.: QA76.76.V47
Dewey Class. No.: 005.14
Software verification and formal methods for ML-enabled autonomous systems = 5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022 : proceedings /
LDR
:02812nmm a2200361 a 4500
001
2306822
003
DE-He213
005
20221215094755.0
006
m d
007
cr nn 008maaau
008
230421s2022 sz s 0 eng d
020
$a
9783031212222
$q
(electronic bk.)
020
$a
9783031212215
$q
(paper)
024
7
$a
10.1007/978-3-031-21222-2
$2
doi
035
$a
978-3-031-21222-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.76.V47
072
7
$a
UYA
$2
bicssc
072
7
$a
COM051000
$2
bisacsh
072
7
$a
UYA
$2
thema
082
0 4
$a
005.14
$2
23
090
$a
QA76.76.V47
$b
I61 2022
111
2
$a
International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems
$n
(5th :
$d
2022 :
$c
Haifa, Israel)
$3
3611428
245
1 0
$a
Software verification and formal methods for ML-enabled autonomous systems
$h
[electronic resource] :
$b
5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022 : proceedings /
$c
edited by Omri Isac ... [et al.].
246
3
$a
FoMLAS 2022
246
3
$a
NSV 2022
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
x, 205 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
13466
505
0
$a
FoMLAS 2022 -- VPN: Verification of Poisoning in Neural Networks -- A Cascade of Checkers for Run-time Certification of Local Robustness -- CEG4N: Counter-Example Guided Neural Network Quantization Refinement -- Minimal Multi-Layer Modifications of Deep Neural Networks -- Differentiable Logics for Neural Network Training and Verification -- Neural Networks in Imandra: Matrix Representation as a Verification Choice -- Self-Correcting Neural Networks For Safe Classification -- Self-Correcting Neural Networks For Safe Classification -- NSV 2022 -- Verified Numerical Methods for Ordinary Differential Equations -- Neural Network Precision Tuning Using Stochastic Arithmetic -- MLTL Multi-type (MLTLM): A Logic for Reasoning about Signals of Different Types.
520
$a
This book constitutes the refereed proceedings of the 5th International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th International Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022. The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methods techniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabled autonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine learning components.
650
0
$a
Computer software
$x
Verification
$v
Congresses.
$3
844546
650
0
$a
Software engineering
$x
Congresses.
$3
696781
650
0
$a
Formal methods (Computer science)
$v
Congresses.
$3
622707
650
0
$a
Machine learning
$x
Congresses.
$3
576368
700
1
$a
Isac, Omri.
$3
3611429
710
2
$a
SpringerLink (Online service)
$3
836513
711
2
$a
International Workshop on Numerical Software Verification
$n
(15th :
$d
2022 :
$c
Haifa, Israel)
$3
3611431
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
13466.
$3
3611430
856
4 0
$u
https://doi.org/10.1007/978-3-031-21222-2
950
$a
Computer Science (SpringerNature-11645)
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
W9447782
電子資源
11.線上閱覽_V
電子書
EB QA76.76.V47
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