Reported promising safety and preliminary efficacy data for REC-617, an oral CDK7 inhibitor, and met primary endpoints and demonstrated ...

Additionally, it also implicitly increases the feature dimensions to improve linear separability. The experimental results demonstrate that our MambaNext has achieved state-of-the-art performance ...

We used a linear classifier trained on the model’s internal representations to decode the class labels. Although our model does not require class labels for learning, we exploited the label ...

To derive markers of the different neural processes from the EEG data, for each stimulus feature we trained linear discriminant classifiers ... For both features, covariance/class separability maps ...

This shift is disrupting the entire linear TV market. According to statistics, the majority of linear television viewers fall into the category of older audiences, typically aged 35 or older. Turning ...

The shock-paired visual cue further elicited locomotion and freezing. Linear discriminant analyses showed that ethogram data could accurately classify rats into paired and unpaired groups. Using ...

Unlike RNNs, which compress previous tokens into a single hidden state, standard Transformers attend to all previous tokens directly—though using representations only from the immediately preceding ...