Laplace vs Laplacian Smoothing

Course Q&A Natural Language Processing NLP with Classification and Vector Spaces
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1

In the course materials, the smoothing is described as Laplacian Smoothing. In the assignment for this week, the following link on additive smoothing is given.

In this wiki article, a distinction is made between Laplace and Laplacian Smoothing. From what I understand, Laplacian smoothing seems to refer to a different concept, used in Image Processing for filters.

Am I correct in thinking there is a typo in the course material? Should it be Laplace Smoothing (instead of Laplacian Smoothing)?

2

Thanks for sharing your thoughts on this, Ahmad!

Laplacian smoothing is an algorithm to smooth

Laplacian smoothing is a smoothing technique that helps tackle the problem of zero probability in the Naïve Bayes machine learning algorithm.

Ref link

  1. Additive smoothing - Wikipedia
  2. Naive Bayes classifier - Wikipedia ( look for Multinomial naive Bayes)

I hope it will solve your confusion.