Your English writing platform
Discover LudwigSuggestions(2)
Exact(3)
We used PCA to reduce the speaker features to two dimensions.
For feature selection, we used the feature importances from the random forest to reduce the number of features to two features.
To further illustrate the design of our software, we have compared its features to two other publicly available packages for mesoscopic spatial stochastic simulation.
Similar(57)
The critical mass of everyone you know, plus the cost and complexity of an infrastructure that provides a broad panoply of valuable features to two billion people — those are Facebook's 700-foot-high barrier of enchanted ice.
From the filterbank features, we compute the TRAP features [30] as follows: we first normalize the 23-dimensional filterbank features to zero mean per speaker.
The L1 regularized logistic regression model has the property of shrinking the weights of irrelevant features to zero.
Compare different vehicles that offer similar features to one another to narrow down your potential options.
To keep the size of the factorial model reasonable, we limited each feature to two levels (generally either on/off or high/low).
As Fig. 1 shows, we extract dense trajectory features from the videos and encode each feature to three different descriptors which are HOG, HOF, and MBH.
We note that there are two categories of special selected features according to two different feature selection principals.
We then use the features to compare two adjacent frames in the video sequence.
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