Margin (machine learning)

Known as: Margin 
In machine learning the margin of a single data point is defined to be the distance from the data point to a decision boundary. Note that there are… (More)
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Active learning (machine learning)Decision boundaryLinear classifierMachine learning
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Papers overview

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2017
2017
Learning to Detect Salient Objects with Image-Level Supervision
Deep Neural Networks (DNNs) have substantially improved the state-of-the-art in salient object detection. However, training DNNs… (More)
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2011
2011
Fertility Transitions Along the Extensive and Intensive Margins
By augmenting the standard quantity-quality model with an extensive margin, we generate sharp testable predictions of causes of… (More)
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Highly Cited
2007
Highly Cited
2007
Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application
Assortment planning at a retailer entails both selecting the set of products to be carried and setting inventory levels for each… (More)
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2007
2007
A gateway placement algorithm in wireless mesh networks
An innovative gateway placement scheme is proposed for wireless mesh networks (WMNs) in this paper. In the WMN model, a regular… (More)
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2004
2004
The range margins of northern birds shift polewards
The changes in range margins of birds breeding in Finland was analysed from published atlas data for a 12-year period (1974–1979… (More)
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Highly Cited
2002
Highly Cited
2002
Ranking with Large Margin Principle: Two Approaches
We discuss the problem of ranking instances with the use of a “large margin” principle. We introduce two main approaches: the… (More)
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Highly Cited
2001
Highly Cited
2001
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
In this paper we describe the algorithmic implementation of multiclass kernel-based vector machines. Our starting point is a… (More)
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Highly Cited
2001
Highly Cited
2001
Limitations of Learning via Embeddings in Euclidean Half-Spaces
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines… (More)
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Highly Cited
2000
Highly Cited
2000
A New Approximate Maximal Margin Classification Algorithm
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p ≥ 2 for a set of… (More)
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Highly Cited
1999
Highly Cited
1999
Large Margin DAGs for Multiclass Classification
We present a new learning architecture: the Decision Direct ed Acyclic Graph (DDAG), which is used to combine many two-class… (More)
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