Tyskt folkliv från medeltiden till våra dagar

Simulating Human Game Play for Level Difficulty Estimation with Convolutional Neural Networks

This thesis presents an approach to predict the difficulty of levels in a game by simulating game play following a policy learned from human game play. Using state-action pairs tracked from players of the game Candy Crush Saga, we train a Convolutional Neural Network to predict an action given a game state. The trained model then acts as a policy. Our goal is to predict the success rate (SR) of...

Genetic Analyses of Tumor Progression in Colorectal Cancer

1 ABSTRACT Colorectal tumors are responsible for more than 600 000 deaths per year worldwide and thereby constitute the second most common cause of cancer related mortality. Early detection is related to improved prognosis and identification of genetic biomarkers would meliorate available diagnostic tools. Existing tumor classification systems lack precise monitoring within individual tumor sta...

Identifiering av diskursrefenter vid maskinöversättning från ryska till svenska (Identification of dicourse references in machine translation from Russian to Swedish) [In Swedish]

The problem of tracking discourse referents in the process of machine translation which will be discussed in this paper is a part of my work at SW ETRA (Swedish Computer Translation Research) at the Dept of Linguistics, Lund. The SWETRA-programs, implemented in Prolog and based on a GPSG-inspired formalism called Referent Grammau', abbrevi­ ated RG (Sigurd 1987, 1988), allow translation of a la...

Optimizing Strip-Till and No-Till Systems for Corn

Recent developments in biofuel demand and the rapid adoption of modern transgenic hybrids are changing production systems towards more corn after corn, more intensive tillage, higher plant populations, and ever higher crop residue levels at harvest. Meeting society’s needs for food, feed, and fuel from grain corn, and in the future from corn stover, requires continued refinement of tillage syst...

Macropore flow estimations under no-till and till systems