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Negotiated Representations to Prevent Forgetting in Machine Learning Applications

Autor: Korhan, Nuri, Öner, Ceren

Catastrophic forgetting is a significant challenge in the field of machine learning, particularly in neural networks. When a neural network learns to perform well on a new task, it often forgets its previously acquired knowledge or experiences. This

Externí odkaz: http://arxiv.org/abs/2312.00237

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Negotiated Representations for Machine Mearning Application

Autor: Korhan, Nuri, Bayram, Samet

Overfitting is a phenomenon that occurs when a machine learning model is trained for too long and focused too much on the exact fitness of the training samples to the provided training labels and cannot keep track of the predictive rules that would b

Externí odkaz: http://arxiv.org/abs/2311.11410

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Akademický článek

Generating ten BCI commands using four simple motor imageries and classification by divergence-based DNN.

Autor: Korhan, Nuri¹ (AUTHOR) korhan@itu.edu.tr, Olmez, Tamer¹ (AUTHOR), Dokur, Zümray¹ (AUTHOR)

Publikováno v: Neural Computing & Applications. Jan2023, Vol. 35 Issue 2, p1303-1322. 20p.

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Diagnosis of thyroid disease via support vector machines

Autor: Korhan, Nuri

Destek Vektör Makineleri Günümüzde en popüler Makine Öğrenmesi yöntemleri içerisinde yer alır. 1964 yılında Vladimir Vapnik tarafından alt yapısı oluşturulan bu yöntem günümüzde medikal analizden görüntü işlemeye, el yazısı

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10208::5c8c2cd17da56e278abe4425ecfc0f1d
https://acikbilim.yok.gov.tr/handle/20.500.12812/637793

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