1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
We present an efficient prototype for music information retrieval. The prototype uses bitparallel algorithms for locating transposition invariant matches of monophonic query melod...
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
This paper discusses the application of robotic technologies to an evacuation assistance task. We describe how this kind of task differs from the more prevalent search and rescue ...
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...