Related Publications
Trust Region Newton Method for Logistic Regression
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method...
Kernel Logistic Regression and the Import Vector Machine
The support vector machine (SVM) is known for its good performance in two-class classification, but its extension to multiclass classification is still an ongoing research issue...
Factorization Machines
In this paper, we introduce Factorization Machines (FM) which are a new model class that combines the advantages of Support Vector Machines (SVM) with factorization models. Like...
Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
Support vector machines (SVMs) with the gaussian (RBF) kernel have been popular for practical use. Model selection in this class of SVMs involves two hyper parameters: the penal...
Binarized Support Vector Machines
The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have b...
Publication Info
- Year
- 2025
- Type
- article
- Citations
- 0
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1007/s12647-025-00873-3