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Ruby C. Weng
Researcher at National Chengchi University
Publications - 27
Citations - 3998
Ruby C. Weng is an academic researcher from National Chengchi University. The author has contributed to research in topics: Support vector machine & Edgeworth series. The author has an hindex of 13, co-authored 27 publications receiving 3831 citations.
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Journal ArticleDOI
Probability Estimates for Multi-class Classification by Pairwise Coupling
TL;DR: In this paper, the authors present two approaches for obtaining class probabilities, which can be reduced to linear systems and are easy to implement, and show conceptually and experimentally that the proposed approaches are more stable than the two existing popular methods: voting and the method by Hastie and Tibshirani (1998).
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A note on Platt's probabilistic outputs for support vector machines
TL;DR: An improved algorithm that theoretically converges and avoids numerical difficulties is proposed for Platt’s probabilistic outputs for Support Vector Machines.
Journal ArticleDOI
Trust Region Newton Method for Logistic Regression
TL;DR: This paper applies a trust region Newton method to maximize the log-likelihood of the logistic regression model, and extends the proposed method to large-scale L2-loss linear support vector machines (SVM).
Proceedings ArticleDOI
Trust region Newton methods for large-scale logistic regression
TL;DR: In this paper, a trust region Newton method is applied to maximize the log-likelihood of the logistic regression model, which achieves fast convergence in the end, using only approximate Newton steps in the beginning.
Journal ArticleDOI
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
TL;DR: This paper introduces a generalized Bradley-Terry model in which paired individual comparisons are extended to paired team comparisons, and proposes a simple algorithm with convergence proofs to solve the model and obtain individual skill.