Making adjuvant therapy decisions with uncertain data

Making Decisions with Spatially and Temporally Uncertain Data

We consider a decision-making problem where the environment varies both in space and time. Such problems arise naturally when considering e.g., the navigation of an underwater robot amidst ocean currents or the navigation of an aerial vehicle in wind. To model such spatiotemporal variation, we extend the standard Markov Decision Process (MDP) to a new framework called the Time-Varying Markov De...

The challenges of making decisions using uncertain data

All of the experimental compound data with which we work have significant uncertainties, due to imperfect correlations between experimental systems and the ultimate in vivo properties of compounds and the inherent variability in experimental conditions. When using these data to make decisions, it is essential that these uncertainties are taken into account to avoid making inappropriate decision...

A Probabilistic Approach for Rendezvous Decisions with Uncertain Data

In this paper, the p-Probabilistic Rendezvous algorithm (in short p-PR) is introduced. The main difference between the traditional rendezvous and ours is that the former requires exact location information to calculate the rendezvous. Without this restriction, p-PR is more suitable in applications, where the uncertainty of the locations is commonplace. The main novelty of our approach is that t...

Low Stream Flows: Making Decisions in an Uncertain Climate

Feedlot and Carcass Data: Making “Cents” and Making Decisions