17 citations · 18 across the 5 of their papers we have counts for
5 papers
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
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-…
Bregman-divergence-guided Legendre exponential dispersion model with finite cumulants (K-LED)
Hyenkyun Woo
Exponential dispersion model is a useful framework in machine learning and statistics. Primarily, thanks to the additive structure of the model, it can be achieved without difficul…
The Bregman-Tweedie Classification Model
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 exponent…
Logitron: Perceptron-augmented classification model based on an extended logistic loss function
Hyenkyun Woo
Classification is the most important process in data analysis. However, due to the inherent non-convex and non-smooth structure of the zero-one loss function of the classification…
Outlier Detection for Text Data : An Extended Version
Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal +1
The problem of outlier detection is extremely challenging in many domains such as text, in which the attribute values are typically non-negative, and most values are zero. In such…