標(biāo)題: Titlebook: Automated Machine Learning and Meta-Learning for Multimedia; Wenwu Zhu,Xin Wang Book 2021 The Editor(s) (if applicable) and The Author(s), [打印本頁(yè)] 作者: expenditure 時(shí)間: 2025-3-21 17:51
書(shū)目名稱(chēng)Automated Machine Learning and Meta-Learning for Multimedia影響因子(影響力)
書(shū)目名稱(chēng)Automated Machine Learning and Meta-Learning for Multimedia影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Automated Machine Learning and Meta-Learning for Multimedia網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Automated Machine Learning and Meta-Learning for Multimedia網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
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書(shū)目名稱(chēng)Automated Machine Learning and Meta-Learning for Multimedia讀者反饋
書(shū)目名稱(chēng)Automated Machine Learning and Meta-Learning for Multimedia讀者反饋學(xué)科排名
作者: neutralize 時(shí)間: 2025-3-21 22:28 作者: enlist 時(shí)間: 2025-3-22 00:24 作者: Introvert 時(shí)間: 2025-3-22 05:47
https://doi.org/10.1007/978-3-211-69369-8The term . has been taking on different meanings from its first advent in 1960s until today’s common usage which refers . to “an electronically delivered combination of media including videos, still images, audios, and texts in such a way that can be accessed interactively”.作者: ACTIN 時(shí)間: 2025-3-22 09:53
Automated Machine Learning for MultimediaThe term . has been taking on different meanings from its first advent in 1960s until today’s common usage which refers . to “an electronically delivered combination of media including videos, still images, audios, and texts in such a way that can be accessed interactively”.作者: BOLUS 時(shí)間: 2025-3-22 14:52 作者: neolith 時(shí)間: 2025-3-22 20:43 作者: Fecal-Impaction 時(shí)間: 2025-3-23 00:41 作者: AORTA 時(shí)間: 2025-3-23 04:43 作者: 曲解 時(shí)間: 2025-3-23 07:56
Wenwu Zhu,Xin WangThis is the first book that covers both AML and meta-learning.This book promotes the recent achievements on meta-learning.This book is targeted at introductory and intermediate audiences作者: Expiration 時(shí)間: 2025-3-23 12:45 作者: CAGE 時(shí)間: 2025-3-23 16:36
Future Research Directionsure search) and meta-learning. We would like to point out that the future works deserving further investigations discussed in this chapter can also be applicable to various multimedia applications as well as the learning tasks of different modalities (i.e., texts, audios, images, and videos), therefore we do not present separate discussions here.作者: 壯麗的去 時(shí)間: 2025-3-23 21:54 作者: 勾引 時(shí)間: 2025-3-23 22:21
Meta-Learningning usually depends on large labeled datasets and trains a huge model with a large number of parameters from scratch. Thus, the requirement for data and computing resources is relatively high. However, there are many applications where data is difficult or expensive to collect, or computing resourc作者: Gratulate 時(shí)間: 2025-3-24 03:56 作者: Dealing 時(shí)間: 2025-3-24 07:34
Future Research Directionsure search) and meta-learning. We would like to point out that the future works deserving further investigations discussed in this chapter can also be applicable to various multimedia applications as well as the learning tasks of different modalities (i.e., texts, audios, images, and videos), theref作者: 弄污 時(shí)間: 2025-3-24 14:01 作者: Oration 時(shí)間: 2025-3-24 17:00 作者: Estrogen 時(shí)間: 2025-3-24 21:46 作者: 地殼 時(shí)間: 2025-3-25 00:56 作者: Metamorphosis 時(shí)間: 2025-3-25 04:13
Automated Machine Learnings and hence the algorithm configuration requires intensive expertise, which becomes a substantial hurdle for new users and further restricts the applicability and feasibility of modern machine learning methods in a wider range of public fields.作者: 禁止 時(shí)間: 2025-3-25 08:34
ted at introductory and intermediate audiencesThis book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exci作者: BAIL 時(shí)間: 2025-3-25 14:39
,Judikatur — Eine Bestandsaufnahme,and computing resources is relatively high. However, there are many applications where data is difficult or expensive to collect, or computing resources are limited. Since the lack of training data, supervised learning is not suitable for these tasks and shows bad performances.作者: OTTER 時(shí)間: 2025-3-25 17:08 作者: Endoscope 時(shí)間: 2025-3-25 23:43
Book 2021 computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems作者: absolve 時(shí)間: 2025-3-26 04:14
Problemstellung und Gang der Untersuchung,ries: i) multimedia search and recommendation, including cold-start recommendation, recommender algorithm selection, and incremental product search; ii) vision and language, including classification, detection, image captioning, tracking, and visual question answering problems.作者: insipid 時(shí)間: 2025-3-26 07:33
Meta-Learning for Multimediaries: i) multimedia search and recommendation, including cold-start recommendation, recommender algorithm selection, and incremental product search; ii) vision and language, including classification, detection, image captioning, tracking, and visual question answering problems.作者: HAIRY 時(shí)間: 2025-3-26 10:19
Book 2021d in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book..作者: 閹割 時(shí)間: 2025-3-26 15:47
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