Results 271 to 280 of about 10,380,352 (315)
Some of the next articles are maybe not open access.
Technology Transfer and Learning
Technology Analysis & Strategic Management, 2002Despite the fact that international technology transfer has been widely studied its management still encounters many difficulties. To fully understand the issues that are relevant to the process of transferring production technology, it is necessary to determine the important factors that influence this process.
Steenhuis, Harm-Jan, de Bruijn, Erik J.
openaire +1 more source
Interhemispheric transfer of learning
Life Sciences, 1965Abstract Interhemispheric transfer of a simple discrimination was studied by means of spreading cortical depression. Following a single trial with both hemispheres functional transfer to the untrained hemisphere did not occur if SD was elicited in either hemisphere fifteen seconds after the transfer trial.
O S, RAY, G, EMLEY
openaire +2 more sources
Incomplete Multisource Transfer Learning
IEEE Transactions on Neural Networks and Learning Systems, 2018Transfer learning is generally exploited to adapt well-established source knowledge for learning tasks in weakly labeled or unlabeled target domain. Nowadays, it is common to see multiple sources available for knowledge transfer, each of which, however, may not include complete classes information of the target domain.
Zhengming Ding, Ming Shao, Yun Fu
openaire +2 more sources
Transfer Ordinal Label Learning
IEEE Transactions on Neural Networks and Learning Systems, 2013Designing a classifier in the absence of labeled data is becoming a common encounter as the acquisition of informative labels is often difficult or expensive, particularly on new uncharted target domains. The feasibility of attaining a reliable classifier for the task of interest is embarked by some in transfer learning, where label information from ...
Chun-Wei, Seah +2 more
openaire +2 more sources
Learning Transfers via Transfer Learning
2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS), 2021Md Arifuzzaman, Engin Arslan
openaire +1 more source
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019Fault diagnosis plays an important role in modern industry. With the development of smart manufacturing, the data-driven fault diagnosis becomes hot. However, traditional methods have two shortcomings: 1) their performances depend on the good design of ...
Long Wen, Liang Gao, Xinyu Li
semanticscholar +1 more source
IEEE transactions on industrial electronics (1982. Print), 2019
The success of intelligent fault diagnosis of machines relies on the following two conditions: 1) labeled data with fault information are available; and 2) the training and testing data are drawn from the same probability distribution.
Liang Guo +4 more
semanticscholar +1 more source
The success of intelligent fault diagnosis of machines relies on the following two conditions: 1) labeled data with fault information are available; and 2) the training and testing data are drawn from the same probability distribution.
Liang Guo +4 more
semanticscholar +1 more source
Transfer Learning für visuelle Kontrollaufgaben/Potentials of Transfer Learning
wt Werkstattstechnik online, 2020In der industriellen Praxis wird eine Vielzahl von Prozess- und Qualitätskontrollaufgaben visuell von Mitarbeitern oder mithilfe von Kamerasystemen durchgeführt. Durch den Einsatz Künstlicher Intelligenz (KI) lässt sich die Programmierung und damit die Implementierung von Kamerasystemen effizienter gestalten.
Hubert Würschinger +2 more
openaire +1 more source
Transfer in Discrimination Learning
Child Development, 1965Two types of pretraining preceded testing on the oddity problem for 4- and 6-year-old children and on the conditional-oddity problem for 9- and 12-year-old children. It was found that age factors were important determiners of transfer in both situations.
openaire +1 more source