3 citations · 6 across the 5 of their papers we have counts for
5 papers
Evolutionarily Stable Preferences Against Multiple Mutations in Multi-player Games
Yu-Sung Tu, Wei-Torng Juang
We use the indirect evolutionary approach to study evolutionarily stable preferences against multiple mutations in single- and multi-population matching settings, respectively. Pla…
Evolution of Preferences in Multiple Populations
Yu-Sung Tu, Wei-Torng Juang
We study the evolution of preferences in multi-population settings that allow matches across distinct populations. Each individual has subjective preferences over potential outcome…
The Payoff Region of a Strategic Game and Its Extreme Points
Yu-Sung Tu, Wei-Torng Juang
The range of a payoff function for an -player finite strategic game is investigated using a novel approach, the notion of extreme points of a non-convex set. The shape of a nonc…
Supervised cross-modal factor analysis for multiple modal data classification
Jingbin Wang, Yihua Zhou, Kanghong Duan +2
In this paper we study the problem of learning from multiple modal data for purpose of document classification. In this problem, each document is composed two different modals of d…
Vector Quantization by Minimizing Kullback-Leibler Divergence
Lan Yang, Jingbin Wang, Yujin Tu +2
This paper proposes a new method for vector quantization by minimizing the Kullback-Leibler Divergence between the class label distributions over the quantization inputs, which are…