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Bias–variance tradeoff

Known as: Bias–variance dilemma, Bias–variance decomposition, Bias and variance tradeoff 
In statistics and machine learning, the bias–variance tradeoff (or dilemma) is the problem of simultaneously minimizing two sources of error that… 
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Related topics

Related topics

24 relations
AlgorithmArtificial neural networkBoosting (machine learning)Bootstrap aggregating

Broader (3)

Machine learningModel selectionStatistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
The bias-variance tradeoff tells us that as model complexity increases, bias falls and variances increases, leading to a U-shaped… 
Review
2017
Review
2017
Increasing firm agility through the use of data analytics: The role of fit
Highly Cited
2013
Highly Cited
2013
Distributive Politics Around the World
We inventory more than 150 studies of distributive politics in more than three dozen countries other than the United States. We… 
Highly Cited
2012
Highly Cited
2012
Understanding the bias-variance tradeoff
Highly Cited
2010
Highly Cited
2010
Liquidity Biases and the Pricing of Cross-Sectional Idiosyncratic Volatility around the World
Abstract This paper examines data from 45 world markets and shows that the previously documented relation between mean returns… 
Highly Cited
2008
Highly Cited
2008
Are Individuals Entering Self-Employment Overly-Optimistic? An Empirical Test of Plans and Projections on Nascent Entrepreneur Expectations
This research examines the rationality of the expectations of nascent entrepreneurs. Consistent with conjectures regarding entry… 
Highly Cited
1997
Highly Cited
1997
SPECIAL ARTICLE COMPARING METHODS OF MEASUREMENT
1. The purpose of comparing two methods of measurement of a continuous biological variable is to uncover systematic differences… 
Highly Cited
1992
Highly Cited
1992
A Didactic Explanation of Item Bias, Item Impact, and Item Validity from a Multidimensional Perspective
Many researchers have suggested that the main cause of item bias is the misspecification of the latent ability space, where items… 
Highly Cited
1982
Highly Cited
1982
Developing a Common Metric in Item Response Theory
A common problem arises when independent esti mates of item parameters from two separate data sets must be expressed in the same… 
Highly Cited
1982
Highly Cited
1982
Using known map category marginal frequencies to improve estimates of thematic map accuracy
By means of two simple sampling plans suggested in the accuracy-assessment literature, it is shown how one can use knowledge of… 
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