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

Recent advances in big data and deep...

INNSBDDL (Conference) ((2019 :)

FindBook

Google Book

Amazon

博客來

Recent advances in big data and deep learning = proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Recent advances in big data and deep learning/ edited by Luca Oneto ... [et al.].
其他題名:	proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019 /
其他作者:	Oneto, Luca.
團體作者:	INNSBDDL (Conference)
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	x, 392 p. :ill., digital ;24 cm.
內容註:	On the trade-off between number of examples and precision of supervision in regression -- Distributed SmSVM Ensemble Learning -- Size/Accuracy Trade-off in Convolutional Neural Networks: An Evolutionary Approach -- Fast transfer learning for image polarity detection -- Dropout for Recurrent Neural Networks -- Psychiatric disorders classification with 3D Convolutional Neural Networks -- Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions -- Deep-learning domain adaptation techniques for credit cards fraud detection -- Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks -- An information theoretic approach to the autoencoder -- Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning -- Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies.
Contained By:	Springer eBooks
標題:	Big data - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-16841-4
ISBN:	9783030168414

Recent advances in big data and deep learning = proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019 /
Recent advances in big data and deep learningproceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019 /[electronic resource] :edited by Luca Oneto ... [et al.]. - Cham :Springer International Publishing :2020. - x, 392 p. :ill., digital ;24 cm. - Proceedings of the international neural networks society,v.12661-8141 ;. - Proceedings of the international neural networks society ;v.1..

On the trade-off between number of examples and precision of supervision in regression -- Distributed SmSVM Ensemble Learning -- Size/Accuracy Trade-off in Convolutional Neural Networks: An Evolutionary Approach -- Fast transfer learning for image polarity detection -- Dropout for Recurrent Neural Networks -- Psychiatric disorders classification with 3D Convolutional Neural Networks -- Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions -- Deep-learning domain adaptation techniques for credit cards fraud detection -- Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks -- An information theoretic approach to the autoencoder -- Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning -- Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies.

This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.

ISBN: 9783030168414

Standard No.: 10.1007/978-3-030-16841-4doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Recent advances in big data and deep learning = proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019 /
LDR:03128nmm a2200349 a 4500 001 2213424
003 DE-He213
005 20200206170303.0
006 m d
007 cr nn 008maaau
008 201117s2020 sz s 0 eng d
020 $a 9783030168414 $q (electronic bk.)
020 $a 9783030168407 $q (paper)
024 7 $a 10.1007/978-3-030-16841-4 $2 doi
035 $a 978-3-030-16841-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a TB $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b I58 2019
111 2 $a INNSBDDL (Conference) $d (2019 : $c Sestri Levante, Italy) $3 3442883
245 1 0 $a Recent advances in big data and deep learning $h [electronic resource] : $b proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019 / $c edited by Luca Oneto ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 392 p. : $b ill., digital ; $c 24 cm.
490 1 $a Proceedings of the international neural networks society, $x 2661-8141 ; $v v.1
505 0 $a On the trade-off between number of examples and precision of supervision in regression -- Distributed SmSVM Ensemble Learning -- Size/Accuracy Trade-off in Convolutional Neural Networks: An Evolutionary Approach -- Fast transfer learning for image polarity detection -- Dropout for Recurrent Neural Networks -- Psychiatric disorders classification with 3D Convolutional Neural Networks -- Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions -- Deep-learning domain adaptation techniques for credit cards fraud detection -- Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks -- An information theoretic approach to the autoencoder -- Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning -- Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies.
520 $a This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In addition to regular sessions, INNS BDDL welcomed around 40 oral communications, 6 tutorials have been presented together with 4 invited plenary speakers. This book covers a broad range of topics in big data and deep learning, from theoretical aspects to state-of-the-art applications. This book is directed to both Ph.D. students and Researchers in the field in order to provide a general picture of the state-of-the-art on the topics addressed by the conference.
650 0 $a Big data $v Congresses. $3 3166510
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Oneto, Luca. $3 3442884
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Proceedings of the international neural networks society ; $v v.1. $3 3442885
856 4 0 $u https://doi.org/10.1007/978-3-030-16841-4
950 $a Intelligent Technologies and Robotics (Springer-42732)