scientific article; zbMATH DE number 7164737

zbMath1434.68448MaRDI QIDQ5214229

Nuno Vasconcelos, Mohammad Saberian

Publication date: 7 February 2020

Full work available at URL: http://jmlr.csail.mit.edu/papers/v20/17-137.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

loss functionboostingmulticlass classificationmargin maximizationmulticlass boosting

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

SVM-boosting based on Markov resampling: theory and algorithm

Uses Software

• Caffe

Cites Work

• Multi-class AdaBoost
• A decision-theoretic generalization of on-line learning and an application to boosting
• Classification by pairwise coupling
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Statistical behavior and consistency of classification methods based on convex risk minimization.
• Improved boosting algorithms using confidence-rated predictions
• 10.1162/15324430152733133
• 10.1162/15324430260185628
• Matrix Analysis
• Numerical Optimization
• Locality-sensitive hashing scheme based on p-stable distributions
• On the learnability and design of output codes for multiclass problems
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