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Overfitting

Known as: Underfitting, Over-fitted, Overfit 
In statistics and machine learning, one of the most common tasks is to fit a "model" to a set of training data, so as to be able to make reliable… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Low-data-rate wireless networks can be deployed for physical intrusion detection and localization purposes. The intrusion of a… 
2015
2015
This chapter introduces the role of Data Mining (DM) for Business Intelligence (BI) in Knowledge Management (KM), thus explaining… 
2013
2013
Genetic programming (GP) and its variants have been extensively applied for modeling of the stock markets. To improve the… 
2009
2009
Understanding intents from search queries can improve a user's search experience and boost a site's advertising profits. Query… 
2008
2008
Ear detection is the most important step of an ear recognition system, and the detection effect of this step directly affects the… 
Highly Cited
2005
Highly Cited
2005
Many researchers have applied statistical analysis techniques to email for classification purposes, such as identifying spam… 
Review
2003
Review
2003
Review of "An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods, Nello Cristianini and John Shawe…