Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Figure 18 Integrated confusion matrices of emotion classification for sentences from EMO-DB (left) and CZ&SK (right) corpora; feature set P3, N gmix = 6, N iter = 1200.
Similar(58)
Confusion matrices compared the error pattern of emotion categorization for virtual and natural faces.
Tables 7 and 8 show the confusion matrices for person independent testing for six and seven classes of emotion using Improved GLTP in the CK+ dataset.
Tables 5 and 6 show the confusion matrices for leave-one-out testing for six and seven classes of emotion using Improved GLTP in the CK+ dataset.
Tables 3 and 4 show the confusion matrices for 10-fold cross-validation testing for six and seven classes of emotion using Improved GLTP in the CK+ dataset.
Adaptive role of emotion.
This is a week of emotion, but not only emotion.
Figure 8 Distribution of emotion categories in 3D emotion space.
In particular, two types of emotion were evaluated: self-oriented emotion and other-oriented, empathic emotion.
Without any trace of emotion.
Two-dimensional model of emotion was used.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com