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» Margin Maximizing Loss Functions
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ICANN
2007
Springer
14 years 5 months ago
Selection of Basis Functions Guided by the L2 Soft Margin
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
Ignacio Barrio, Enrique Romero, Lluís Belan...
WINE
2007
Springer
126views Economy» more  WINE 2007»
14 years 5 months ago
A Theory of Loss-Leaders: Making Money by Pricing Below Cost
We consider the problem of assigning prices to goods of fixed marginal cost in order to maximize revenue in the presence of single-minded customers. We focus in particular on the...
Maria-Florina Balcan, Avrim Blum, T.-H. Hubert Cha...
JMLR
2010
123views more  JMLR 2010»
13 years 9 months ago
Maximum Relative Margin and Data-Dependent Regularization
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
Pannagadatta K. Shivaswamy, Tony Jebara
ECCV
2010
Springer
14 years 2 months ago
Max-Margin Dictionary Learning for Multiclass Image Categorization
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
14 years 8 days ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu