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When several models have similar training scores, classical model selection heuristics follow Occam's razor and advise choosing the ones with least capacity. Yet, modern practice with large neural networks has often led to situations where two networ
Externí odkaz:
http://arxiv.org/abs/2211.14347
The theory of bias-variance used to serve as a guide for model selection when applying Machine Learning algorithms. However, modern practice has shown success with over-parameterized models that were expected to overfit but did not. This led to the p
Externí odkaz:
http://arxiv.org/abs/2211.10322
A vast majority of the current research in the field of Machine Learning is done using algorithms with strong arguments pointing to their biological implausibility such as Backpropagation, deviating the field's focus from understanding its original o
Externí odkaz:
http://arxiv.org/abs/2210.14855
Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?
It is generally assumed that the brain uses something akin to sparse distributed representations. These representations, however, are high-dimensional and consequently they affect classification performance of traditional Machine Learning models due
Externí odkaz:
http://arxiv.org/abs/2208.12564
Drawing from memory the face of a friend you have not seen in years is a difficult task. However, if you happen to cross paths, you would easily recognize each other. The biological memory is equipped with an impressive compression algorithm that can
Externí odkaz:
http://arxiv.org/abs/2207.04827
Autor:
Sa-Couto, Luis, Wichert, Andreas
Although deep learning has solved difficult problems in visual pattern recognition, it is mostly successful in tasks where there are lots of labeled training data available. Furthermore, the global back-propagation based training rule and the amount
Externí odkaz:
http://arxiv.org/abs/2104.14970
Akademický článek
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Publikováno v:
Geriatric Care, Vol 9, Iss 1 (2023)
The objective of this study is to investigate the presence of sarcopenia and the risk of oropharyngeal dysphagia (OD) in a geriatric population and to analyze the relationship between the factors associated with sarcopenic dysphagia. The cross-sectio
Externí odkaz:
https://doaj.org/article/d7d7a938e28645268f1afeef0d2fbd83
Autor:
Ana Catarina Matos, João Lorigo, Inês Alexandra Marques, Ana Margarida Abrantes, Matilde Jóia-Gomes, Pedro Sa-Couto, Ana Cristina Gonçalves, Ana Valentim, Edgar Tavares-Silva, Arnaldo Figueiredo, Ana Salomé Pires, Maria Filomena Botelho
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 1, p 468 (2023)
The effect of anti-algics on tumor progression and the overall survival of patients is controversial and remains unclear. Herein, we disclose the in vitro effects of the local anesthetics lidocaine, ropivacaine, and levobupivacaine on breast (MCF7),
Externí odkaz:
https://doaj.org/article/a73d59dd4faa4a399334742864aa4836
Akademický článek
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