scientific article; zbMATH DE number 6982343

zbMath1467.62128arXiv1711.05420MaRDI QIDQ4558203

Yoshiyuki Kabashima, Tomoyuki Obuchi

Publication date: 21 November 2018

Full work available at URL: https://arxiv.org/abs/1711.05420

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

zbMATH Keywords

classificationcross-validationMATLABmultinomial logistic regressionlinear perturbationPython codesself-averaging approximation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Pliable lasso for the multinomial logistic regression ⋮ AcceleratedCVonMLR_matlab

Uses Software

• Matlab
• UCI-ml
• glmnet
• Python
• GitHub
• AcceleratedCVonMLR_Python

Cites Work

• Unnamed Item
• Predictive likelihood: A review. With comments and a rejoinder by the author
• Cross validation in LASSO and its acceleration
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• Note on “Comparison of Model Selection for Regression” by Vladimir Cherkassky and Yunqian Ma
• The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing
• Regularization and Variable Selection Via the Elastic Net
• Partition-function zeros of spherical spin glasses and their relevance to chaos
• A CDMA multiuser detection algorithm on the basis of belief propagation
• Probabilistic data modelling with adaptive TAP mean-field theory

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