東華大學圖書館 |

語系: 繁體中文

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

Reasoning web. causality, explanatio...

Summer School on Reasoning Web (2022 :)

FindBook

Google Book

Amazon

博客來

Reasoning web. causality, explanations and declarative knowledge = 18th International Summer School 2022, Berlin, Germany, September 27-30, 2022 : tutorial lectures /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reasoning web. causality, explanations and declarative knowledge/ edited by Leopoldo Bertossi, Guohui Xiao.
其他題名:	18th International Summer School 2022, Berlin, Germany, September 27-30, 2022 : tutorial lectures /
其他作者:	Bertossi, Leopoldo.
團體作者:	Summer School on Reasoning Web
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	ix, 211 p. :ill. (some col.), digital ;24 cm.
附註:	"It was held online due to anticipated mobility restrictions caused by the Covid-19 pandemic."-- Preface.
內容註:	Explainability in Machine Learning -- Causal Explanations and Fairness in Data -- Statistical Relational Extensions of Answer Set Programming -- Vadalog: Its Extensions and Business Applications -- Cross-Modal Knowledge Discovery, Inference, and Challenges -- Reasoning with Tractable Probabilistic Circuits -- From Statistical Relational to Neural Symbolic Artificial Intelligence -- Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-31414-8
ISBN:	9783031314148

Reasoning web. causality, explanations and declarative knowledge = 18th International Summer School 2022, Berlin, Germany, September 27-30, 2022 : tutorial lectures /
Reasoning web. causality, explanations and declarative knowledge18th International Summer School 2022, Berlin, Germany, September 27-30, 2022 : tutorial lectures /[electronic resource] :edited by Leopoldo Bertossi, Guohui Xiao. - Cham :Springer Nature Switzerland :2023. - ix, 211 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,137590302-9743 ;. - Lecture notes in computer science ;13759..

"It was held online due to anticipated mobility restrictions caused by the Covid-19 pandemic."-- Preface.

Explainability in Machine Learning -- Causal Explanations and Fairness in Data -- Statistical Relational Extensions of Answer Set Programming -- Vadalog: Its Extensions and Business Applications -- Cross-Modal Knowledge Discovery, Inference, and Challenges -- Reasoning with Tractable Probabilistic Circuits -- From Statistical Relational to Neural Symbolic Artificial Intelligence -- Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.

The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was "Reasoning in Probabilistic Models and Machine Learning" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.

ISBN: 9783031314148

Standard No.: 10.1007/978-3-031-31414-8doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334 / .S86 2022

Dewey Class. No.: 006.3

Reasoning web. causality, explanations and declarative knowledge = 18th International Summer School 2022, Berlin, Germany, September 27-30, 2022 : tutorial lectures /
LDR:03010nmm a2200349 a 4500 001 2317131
003 DE-He213
005 20230427194342.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031314148 $q (electronic bk.)
020 $a 9783031314131 $q (paper)
024 7 $a 10.1007/978-3-031-31414-8 $2 doi
035 $a 978-3-031-31414-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334 $b .S86 2022
072 7 $a UB $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UX $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .S955 2022
111 2 $a Summer School on Reasoning Web $n (18th : $d 2022 : $c Online) $3 3630985
245 1 0 $a Reasoning web. causality, explanations and declarative knowledge $h [electronic resource] : $b 18th International Summer School 2022, Berlin, Germany, September 27-30, 2022 : tutorial lectures / $c edited by Leopoldo Bertossi, Guohui Xiao.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a ix, 211 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13759
500 $a "It was held online due to anticipated mobility restrictions caused by the Covid-19 pandemic."-- Preface.
505 0 $a Explainability in Machine Learning -- Causal Explanations and Fairness in Data -- Statistical Relational Extensions of Answer Set Programming -- Vadalog: Its Extensions and Business Applications -- Cross-Modal Knowledge Discovery, Inference, and Challenges -- Reasoning with Tractable Probabilistic Circuits -- From Statistical Relational to Neural Symbolic Artificial Intelligence -- Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.
520 $a The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was "Reasoning in Probabilistic Models and Machine Learning" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 0 $a Semantic Web $x Congresses. $3 576331
650 1 4 $a Computer and Information Systems Applications. $3 3538505
700 1 $a Bertossi, Leopoldo. $3 1003958
700 1 $a Xiao, Guohui. $3 3630986
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 13759. $3 3630987
856 4 0 $u https://doi.org/10.1007/978-3-031-31414-8
950 $a Computer Science (SpringerNature-11645)