Výsledky vyhľadávania - "Sparse stacked denoising autoencoder (SSDAE)"

Learning social representations with deep autoencoder for recommender system.

Autori: Pan, Yiteng He, Fazhi Yu, Haiping

Zdroj: World Wide Web; Jul2020, Vol. 23 Issue 4, p2259-2279, 21p

Predmety: SOCIAL learning, COLLECTIVE representation, RECOMMENDER systems, MATRIX decomposition, SOCIAL influence, SOCIAL interaction, SOCIAL problems

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings.

Autori: Sun, Meidi Wang, Hui Liu, Ping a ďalší

Zdroj: Measurement (02632241). Nov2019, Vol. 146, p305-314. 10p.

Predmety: *FAULT diagnosis, *TRANSFER of training, *INDUSTRIAL safety, *FEATURE extraction, *DEEP learning, *MACHINE learning, *SERVER farms (Computer network management), *BIG data

Korporácia: CASE Western Reserve University

Exploring the evolution, progress, and future of point-of-interest recommendation over location-based social network: a comprehensive review.

Autori: Acharya, Malika Mohbey, Krishna Kumar

Zdroj: GeoInformatica; Jul2025, Vol. 29 Issue 3, p305-350, 46p

Predmety: RECOMMENDER systems, GEOSPATIAL data, TOURIST attractions, SOCIAL networks, CONSUMER preferences

Residual Adversarial Subdomain Adaptation Network Based on Wasserstein Metrics for Intelligent Fault Diagnosis of Bearings.

Autori: Cai, Haichao Yang, Bo Xue, Yujun a ďalší

Zdroj: Applied Sciences (2076-3417); Oct2024, Vol. 14 Issue 19, p9057, 14p

Predmety: FAULT diagnosis, DEEP learning, DIAGNOSIS, LOCAL government

Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder.

Autori: Wang, Lei Rao, Hang Dong, Zhengcheng a ďalší

Zdroj: Structural Health Monitoring; Sep2024, Vol. 23 Issue 5, p3084-3104, 21p

Predmety: AUTOENCODERS, DEEP learning, ROLLER bearings, DIAGNOSIS, ALGORITHMS, FEATURE extraction

Long text feature extraction network with data augmentation.

Autori: Tang, Changhao Ma, Kun Cui, Benkuan a ďalší

Zdroj: Applied Intelligence; Dec2022, Vol. 52 Issue 15, p17652-17667, 16p

Predmety: DATA augmentation, DATA extraction, FAKE news, SOCIAL contact, SOCIAL interaction, SOCIAL media, FEATURE extraction

Recommendation system using a deep learning and graph analysis approach.

Autori: Kherad, Mahdi Bidgoly, Amir Jalaly

Zdroj: Computational Intelligence; Oct2022, Vol. 38 Issue 5, p1859-1883, 25p

Predmety: RECOMMENDER systems, DEEP learning, INFORMATION filtering, TRUST, MATRIX decomposition, TELECOMMUNICATION systems

Geografický termín: LOUVAIN (Belgium)

A survey on recommendation systems for financial services.

Autori: Sharaf, Marwa Hemdan, Ezz El-Din El-Sayed, Ayman a ďalší

Zdroj: Multimedia Tools & Applications; May2022, Vol. 81 Issue 12, p16761-16781, 21p

Predmety: RECOMMENDER systems, FINANCIAL services industry, CUSTOMER services, SERVICE industries

A comprehensive analysis on movie recommendation system employing collaborative filtering.

Autori: Thakker, Urvish Patel, Ruhi Shah, Manan

Zdroj: Multimedia Tools & Applications; Aug2021, Vol. 80 Issue 19, p28647-28672, 26p

Predmety: RECOMMENDER systems, CUSTOMER relationship management software, SENSE data, MACHINE learning, ALGORITHMS

Futuristic Trends in Networks and Computing Technologies

Autori: Pradeep Kumar Singh Sławomir T. Wierzchoń Jitender Kumar Chhabra a ďalší

Typ zdroja: eBook.

Predmet: Computer networks--Congresses, Telecommunication--Technological innovations--Congresses, Includes author index

Kategórie: COMPUTERS / Networking / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Information Theory