國立高雄大學圖資館 |

登入

回首頁 到查詢結果 [ subject:"Computer and Information Systems Applications." ]

Reasoning web. causality, explanations and declarative knowledge18th 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 knowledgeedited 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:
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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-3-031-31414-8
ISBN:	9783031314148$q(electronic bk.)

Reasoning web. causality, explanations and declarative knowledge18th 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 ;4891..

"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$q(electronic bk.)

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

252958
Artificial intelligence

LC Class. No.: Q334 / .S86 2022

Dewey Class. No.: 006.3

Reasoning web. causality, explanations and declarative knowledge18th International Summer School 2022, Berlin, Germany, September 27-30, 2022 : tutorial lectures /
LDR:03010nmm a2200349 a 4500 001 642660
003 DE-He213
005 20230427194342.0
006 m d
007 cr nn 008maaau
008 231123s2023 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 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
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 $3 252958
650 0 $a Semantic Web $v Congresses. $3 384472
650 1 4 $a Computer and Information Systems Applications. $3 913125
700 1 $a Bertossi, Leopoldo. $3 260139
700 1 $a Xiao, Guohui. $3 949984
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-031-31414-8
950 $a Computer Science (SpringerNature-11645)