Non-Asymptotic Analysis of Relational Learning with One Network

Relational Learning with One Network: An Asymptotic Analysis

Theoretical analysis of structured learning methods has focused primarily on domains where the data consist of independent (albeit structured) examples. Although the statistical relational learning (SRL) community has recently developed many classification methods for graph and network domains, much of this work has focused on modeling domains where there is a single network for learning. For e...

Revenue - Profit Measurement in Data Envelopment Analysis with Dynamic Network Structures: A Relational Model

The correlated models are introduced in this article regarding revenue efficiency and profit efficiency in dynamic network production systems. The proposed models are not only applicable in measuring efficiency of divisional, periodical and overall efficiencies, but recognizing the exact sources of inefficiency with respect to revenue and profit efficiencies. Two numerical examples, consisting ...

Introducing a Relational Network DEA Model with Stochastic Intermediate measures for Portfolio Optimization

Social Network Mining with Nonparametric Relational Models

Statistical relational learning (SRL) provides effective techniques to analyze social network data with rich collections of objects and complex networks. Infinite hidden relational models (IHRMs) introduce nonparametric mixture models into relational learning and have been successful in many relational applications. In this paper we explore the modeling and analysis of complex social networks w...

Solving a non-convex non-linear optimization problem constrained by fuzzy relational equations and Sugeno-Weber family of t-norms

Sugeno-Weber family of t-norms and t-conorms is one of the most applied one in various fuzzy modelling problems. This family of t-norms and t-conorms was suggested by Weber for modeling intersection and union of fuzzy sets. Also, the t-conorms were suggested as addition rules by Sugeno for so-called  $lambda$–fuzzy measures. In this paper, we study a nonlinear optimization problem where the fea...