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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… 
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Related topics

Related topics

8 relations
Bag-of-words modelLaplacian smoothingLevel of measurementN-gram

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Endpoint Strichartz estimates for magnetic wave equations on two dimensional hyperbolic spaces
In this paper, we prove that Kato smoothing effects for magnetic Schr\"odinger operators can yield the endpoint Strichartz… 
2017
2017
Sentiment Analysis and Political Party Classification in 2016 U.S. President Debates in Twitter
We introduce a framework of combining tweet sentiment analysis with available default user profiles to classify political party… 
2016
2016
PATH: Person authentication using trace histories
In this paper, a solution to the problem of Active Authentication using trace histories is addressed. Specifically, the task is… 
2014
2014
A Hierarchical Word Sequence Language Model
Most language models used for natural language processing are continuous. However, the assumption of such kind of models is too… 
2012
2012
Quick Kernel Ball Region Approximation for Improved Laplace Smoothing
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
The structure of unseen trigrams and its application to language models: A first investigation
In a series of preparatory experiments in 4 languages on subsets of the Europarl corpus, we show that a large number of unseen… 
2008
2008
Bayesian hierarchical linear mixed models for additive smoothing splines
Bayesian hierarchical models have been used for smoothing splines, thin-plate splines, and L-splines. In analyzing high… 
Highly Cited
2003
Highly Cited
2003
MMI-MAP and MPE-MAP for acoustic model adaptation
This paper investigates the use of discriminative schemes based on themaximum mutual information (MMI) and minimum phone error… 
2000
2000
Sparse Data and Smoothing in Statistical Part-of-Speech Tagging*
This article reports on a series of experiments in statistical part-of-speech tagging of Swedish texts, with different… 
1997
1997
Approximate Smoothing Spline Methods for Large DataSets in the Binary
We consider the use of smoothing splines in generalized additive models with binary responses in the large data set situation… 
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