In this paper we describe an analysis of two double auction markets— the clearing house auction and the continuous double auction. The complexity of these institutions is such th...
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...