By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

We should add a linear classifier (logistic regression style) as an alternative to the current MLP in patient-level modeling. Same input format and preprocessing as MLP (patient feature vectors).

Reduced blood pressure and improved cognition and mental health are just a few of the documented benefits of spending time in “green” and “blue” spaces. In Singapore, greenery cascades off a luxury ...

Source: Christina Morillo / Pexels Have you ever walked away from a conversation with that sinking feeling that you said too much? Not because you were impolite or inconsiderate—but because you tried ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

If you distinctly remember the Berenstain Bears books being spelled "Berenstein" or you know Pikachu has a black-tipped tail, you're not alone, but you're not correct. Don't worry, your brain isn't ...

Abstract: The adoption of Deep Neural Networks (DNNs) in critical fields where predictions need to be accompanied by justifications is hindered by their inherent black-box nature. This paper ...

OTX classification training recipes currently fine-tune all weights presented in the model. Linear classifier fine-tuning case remains uncovered. That feature request suggests to add linear classifier ...