Maximum satisfiability (Max-SAT) is more general and more difficult to solve than satisfiability (SAT). In this paper, we first investigate the effectiveness of Walksat, one of th...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Abstract. We design and validate simulators for generating queries and relevance judgments for retrieval system evaluation. We develop a simulation framework that incorporates exis...
Bouke Huurnink, Katja Hofmann, Maarten de Rijke, M...
Declarative debugging has been proposed as a suitable technique for developing debuggers in the context of declarative languages. However, to become really useful debuggers must b...
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...