An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Although modern control theories have been successfully applied to solve a variety of problems, they are often mathematically and physically too specific to describe and analyze t...
In this paper, we study the class of competitive equilibria in two sided matching markets with general (non-quasilinear) utility functions. Mechanism design in general non-quasili...
Electrophysiological modeling of dendrites and other neurological processes is generally done in a simplified manner, by treating these structures as a series of cylinders (aka ca...
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...