Fuzzy constraints are a popular approach to handle preferences and over-constrained problems in scenarios where one needs to be cautious, such as in medical or space applications. We consider here fuzzy constraint problems where some of the preferences may be missing. This models, for example, settings where agents are distributed and have privacy issues, or where there is an ongoing preference...

In order to control systems to meet subjective criteria, one would like to construct objective functions that accurately represent human preferences. To do this, we develop robust estimators based on convex optimization that, given empirical, pairwise comparisons between motions, produce both (1) objective functions that are compatible with the expressed preferences, and (2) global optimizers (...

This paper deals with preference elicitation and preference-based optimization in the context of multiattribute utility theory under certainty. We focus on the generalized additive decomposable utility model which allows interactions between attributes while preserving some decomposability. We first present a systematic elicitation procedure for such utility functions. This procedure relies on ...

We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, settings where agents are distributed and have privacy issues, or where there is an ongoing preference elicitation process. In this context, we study how to find an optimal solution without having to wait for all the preferences. In particular, we define algorithms, that interleave s...

Fuzzy constraints are a popular approach to handle preferences and over-constrained problems. We consider here situations where some of the preferences may be missing. This models, for example, settings where agents are distributed, or have privacy issues, or where there is an ongoing preference elicitation process. We study how to find a solution which is optimal irrespective of the missing pr...

In financial asset management, choosing a portfolio requires balancing returns, risk, exposure, liquidity, volatility and other factors. These concerns are difficult to compare explicitly, with many asset managers using an intuitive or implicit sense of their interaction. We propose a mechanism for learning someone’s sense of distinctness between portfolios with the goal of being able to identi...

The current approaches to construct a multi-criteria model based on a Choquet integral are split into two separate steps: construct first the utility functions and then the aggregation function. Unfortunately, the decision maker may feel some difficulties in addressing these tricky steps. In this paper, we propose a preference learning algorithm that constructs both the utility functions and th...

Lind, C. 2017. Computational Studies of Protein Synthesis on the Ribosome and Ligand Binding to Riboswitches. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1549. 64 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0051-1. The ribosome is a macromolecular machine that produces proteins in all kingdoms of life. The proteins, in tur...

Codon usage biases are found in all eukaryotic and prokaryotic genomes, and preferred codons are more frequently used in highly expressed genes. The effects of codon usage on gene expression were previously thought to be mainly mediated by its impacts on translation. Here, we show that codon usage strongly correlates with both protein and mRNA levels genome-wide in the filamentous fungus Neuros...