Skip to search formSkip to main contentSkip to account menu

Additive smoothing

Known as: Laplace Smoothing, Lidstone smoothing 
In statistics, additive smoothing, also called Laplace smoothing (not to be confused with Laplacian smoothing), or Lidstone smoothing, is a technique… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
In this paper, we prove that Kato smoothing effects for magnetic Schr\"odinger operators can yield the endpoint Strichartz… 
2017
2017
We introduce a framework of combining tweet sentiment analysis with available default user profiles to classify political party… 
Review
2016
Review
2016
Abstract : In this project, by focusing on a number of word-of-mouth communication websites, we attempted to construct dynamic… 
2016
2016
IBM models are very important word alignment models in Machine Translation. Following the Maximum Likelihood Estimation principle… 
2012
2012
Instead of using the polygon defined by adjacent vertices to a vertex (called the ball) or its kernel [1], we propose a modified… 
2010
2010
In a series of preparatory experiments in 4 languages on subsets of the Europarl corpus, we show that a large number of unseen… 
Highly Cited
2003
Highly Cited
2003
This paper investigates the use of discriminative schemes based on themaximum mutual information (MMI) and minimum phone error… 
2000
2000
This article reports on a series of experiments in statistical part-of-speech tagging of Swedish texts, with different… 
1998
1998
Swalayan 'X' adalah swalayan yang menjual berbagai macam kebutuhan pokok sehari-hari. Swalayan ini memiliki sebuah… 
1997
1997
We consider the use of smoothing splines in generalized additive models with binary responses in the large data set situation…