Search Results - subject:"Transfer Learning"

A deformable CNN-DLSTM based transfer learning method for fault diagnosis of rolling bearing under multiple working conditions

Wang, Zheng; Liu, Qingxiu; Chen, Hansi; Chu, Xuening - In: International journal of production research 59 (2021) 16, pp. 4811-4825

Persistent link: https://www.econbiz.de/10012625725

Predicting with proxies : transfer learning in high dimension

Bastani, Hamsa - In: Management science : journal of the Institute for … 67 (2021) 5, pp. 2964-2984

Persistent link: https://www.econbiz.de/10012550102

Clustering driving styles via image processing

Zhu, Rui; Wüthrich, Mario V. - In: Annals of actuarial science : publ. by the Institute of … 15 (2021) 2, pp. 276-290

Persistent link: https://www.econbiz.de/10012593581

Transfer learning and textual analysis of accounting disclosures : applying big data methods to small(er) datasets

Siano, Federico; Wysocki, Peter - In: Accounting horizons : a quarterly publication of the … 35 (2021) 3, pp. 217-244

Persistent link: https://www.econbiz.de/10012667264

TrCSVM: a novel approach for the classification of melanoma skin cancer using transfer learning

Singh, Lokesh; Janghel, Rekh Ram; Sahu, Satya Prakash - In: Data Technologies and Applications 55 (2020) 1, pp. 64-81

classifying the lesions as melanoma and non-melanoma. Design/methodology/approach In this work, a transfer learning (TL) framework …

Persistent link: https://www.econbiz.de/10014712692

Human identification for activities of daily living : a deep transfer learning approach

Zhu, Hongyi; Samtani, Sagar; Chen, Hsinchun; Nunamaker, … - In: Journal of management information systems : JMIS 37 (2020) 2, pp. 457-483

Persistent link: https://www.econbiz.de/10012262561

Visual listening in : extracting brand image portrayed on social media

Liu, Liu; Dzyabura, Daria; Mizik, Natalie - In: Marketing science 39 (2020) 4, pp. 669-686

Persistent link: https://www.econbiz.de/10012294596

A Classification Learning Research based on Discriminative Knowledge-Leverage Transfer

Xiong, Ding; Yan, Lu - In: International Journal of Ambient Computing and … 9 (2018) 4, pp. 52-68

Current transfer learning models study the source data for future target inferences within a major view, the whole … knowledge-leverage (KL). The empirical risk minimization (ERM) principle is extended to the transfer learning setting. The … theoretical upper bound of generalized ERM (GERM) is given for the practical discriminative transfer learning. The subset of the …

Persistent link: https://www.econbiz.de/10012042686

Manifold Transfer Subspace Learning (MTSL) for Applications in Aided Target Recognition

Mendoza-Schrock, Olga; Rizki, Mateen M.; Velten, Vincent J. - In: International Journal of Monitoring and Surveillance … 5 (2017) 3, pp. 15-32

This article describes how transfer subspace learning has recently gained popularity for its ability to perform cross-dataset and cross-domain object recognition. The ability to leverage existing data without the need for additional data collections is attractive for monitoring and surveillance...

Persistent link: https://www.econbiz.de/10012046696

Adaptive trading agent strategies using market experience

Stone, Peter (contributor) - 2011

Along with the growth of electronic commerce has come an interest in developing autonomous trading agents. Often, such agents must interact directly withother market participants, and so the behavior of these participants must be taken into account when designing agent strategies. One common...

Persistent link: https://www.econbiz.de/10009429294