Simulation software is increasingly replacing traditional physical testing in the process of product development, as it can in many cases reduce development times and costs. In a variety of applications, the reduction ...

We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is ...

Automotive collision avoidance systems help the driver to avoid or mitigate a collision. The main objective of this project is to find a methodology to improve the performance of Volvo's automotive collision avoidance ...

Evidence based training has been around for for while, where data is collected and pre-defined measures are used to evaluate the training session. Skisens AB are presenting new methods to evaluate a session which can be ...

We look at numerical methods for simulation of stochastic differential equations exhibiting volatility induced stationarity. This is a property of the process which means that the stationary behaviour is mostly imposed ...

Abstract. In the preclinical stage of pharmaceutical drug development, when investigating the medicinal properties of a new compound, there are two important questions to address. The first question is simply whether the ...

We compute the Poincar e polynomial for the complex Grassmannian using de Rham cohomology. We also construct a CW complex on the Grassmannian using Schubert cells, and then we use these cells to construct a basis for the ...

The earliest sign of breast cancer is the existence of microcalcifications which are tiny calcium clusters in breast tissues detected in mammographies. Early detection and diagnosis of microcalcifications is the main ...

In this thesis we study the log-normal mixture option pricing model proposed by Brigo and Mercurio [1]. This model is of particular interest since it is an analytically tractable generalization of the Black-Scholes option ...