نتایج جستجو برای: Domain adaptation

تعداد نتایج: 542537  

Domain adaptation is a powerful technique given a wide amount of labeled data from similar attributes in different domains. In real-world applications, there is a huge number of data but almost more of them are unlabeled. It is effective in image classification where it is expensive and time-consuming to obtain adequate label data. We propose a novel method named DALRRL, which consists of deep ...

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applicat...

Machine learning is an application of artificial intelligence that is able to automatically learn and improve from experience without being explicitly programmed. The primary assumption for most of the machine learning algorithms is that the training set (source domain) and the test set (target domain) follow from the same probability distribution. However, in most of the real-world application...

Journal: :iranian journal of science and technology transactions of electrical engineering 2015
j. tahmoresnezhad s. hashemi

transfer learning allows the knowledge transference from the source (training dataset) to target (test dataset) domain. feature selection for transfer learning (f-mmd) is a simple and effective transfer learning method, which tackles the domain shift problem. f-mmd has good performance on small-sized datasets, but it suffers from two major issues: i) computational efficiency and predictive perf...

Journal: :Proceedings of the AAAI Conference on Artificial Intelligence 2020

Appropriate adaptation with the multiple sclerosis can help to reduce problems. One of the more effective and practical templates in nursing has more attentive to this topic is Roy Adaptation model. This study done with the purpose of study the effect of performance care plan based on the Roy Adaptation Model on effects of fatigue in multiple sclerosis patients. Methods: In this study, 80 pa...

Journal: :Journal of Artificial Intelligence Research 2022

The development of deep learning techniques has allowed Neural Machine Translation (NMT) models to become extremely powerful, given sufficient training data and time. However, systems struggle when translating text from a new domain with distinct style or vocabulary. Fine-tuning on in-domain allows good adaptation, but requires relevant bilingual data. Even if this is available, simple fine-tun...

Journal: :Proceedings of the AAAI Conference on Artificial Intelligence 2019

Journal: :Proceedings of the AAAI Conference on Artificial Intelligence 2020

Journal: :Proceedings of the AAAI Conference on Artificial Intelligence 2020

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید