Search Results for author:
Found 5 papers, 1 papers with code
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
This article presents a new polynomial parameterized sigmoid called SIGTRON, which is an extended asymmetric sigmoid with Perceptron, and its companion convex model called SIGTRON-imbalanced classification (SIC) model that employs a virtual SIGTRON-induced convex loss function.
Bregman-divergence-guided Legendre exponential dispersion model with finite cumulants (K-LED)
There is an equivalence between a subclass of quasi-likelihood function and a regular 2-LED model, of which the canonical parameter space is open.
The Bregman-Tweedie Classification Model
This work proposes the Bregman-Tweedie classification model and analyzes the domain structure of the extended exponential function, an extension of the classic generalized exponential function with additional scaling parameter, and related high-level mathematical structures, such as the Bregman-Tweedie loss function and the Bregman-Tweedie divergence.
Logitron: Perceptron-augmented classification model based on an extended logistic loss function
The numerical experiment in the linear classifier framework demonstrates that Hinge-Logitron with $k=4$ (the fourth-order SVM with the fourth root stabilization function) outperforms logistic regression, SVM, and other Logitron models in terms of classification accuracy.
Outlier Detection for Text Data : An Extended Version
In such cases, it often becomes difficult to separate the outliers from the natural variations in the patterns in the underlying data.
