Skip to search formSkip to main contentSkip to account menu

Stability (learning theory)

Known as: Algorithmic stability, Stability, Stability in learning 
Stability, also known as algorithmic stability, is a notion in computational learning theory of how a machine learning algorithm is perturbed by… 
Wikipedia (opens in a new tab)

Related topics

Related topics

12 relations
Activation functionBootstrap aggregatingComputational learning theoryCross-validation (statistics)

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Can machine learning explain human learning?
2015
2015
Human Algorithmic Stability and Human Rademacher Complexity
In Machine Learning (ML), the learning process of an algo- rithm given a set of evidences is studied via complexity measures. The… 
2013
2013
Learning Stable Multilevel Dictionaries for Sparse Representation of Images
Dictionaries adapted to the data provide superior performance when compared to predefined dictionaries in applications involving… 
2011
2011
Dynamics On and Of Complex Networks V
Vélo’v 
2009
2009
Simple Risk Bounds for Position-Sensitive Max-Margin Ranking Algorithms
We present risk bounds for position-sensitive max-margin ranking algorithms that follow straightforwardly from a structural… 
2008
2008
Multistation Bundle Adjustment with a Machine Vision Parallel Camera System - an Alternative to the Perspective Case for the Measurement of Small Objects
Photogrammetric measurement and modelling procedures are dependent on accurate camera calibration and orientation. The accuracy… 
2007
2007
Square-Root Unscented Kalman Filter for Vehicle Integrated Navigation
In view of that there exist some defects when the extended Kalman filter (EKF) is applied in nonlinear state estimations, the… 
2006
2006
Applications of empirical processes in learning theory: algorithmic stability and generalization bounds
This thesis studies two key properties of learning algorithms: their generalization ability and their stability with respect to… 
2002
2002
Algorithmic stability and ensemble-based learning
We explore two themes in formal learning theory. We begin with a detailed, general study of the relationship between the… 
1998
1998
Tracking ill-conditioning for the RLS-lattice algorithms
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)