no code implementations • 26 Dec 2023 • Hyenkyun Woo
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.
no code implementations • 4 Oct 2019 • Hyenkyun Woo
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.
no code implementations • 16 Jul 2019 • Hyenkyun Woo
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.
no code implementations • 5 Apr 2019 • Hyenkyun Woo
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.
1 code implementation • 5 Jan 2017 • Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park
In such cases, it often becomes difficult to separate the outliers from the natural variations in the patterns in the underlying data.