Marcel Hermkes

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A lack of information forces many tourists on the same crowded paths. The Dynamic Tour Guide (DTG) is a mobile agent hich computes an itinerary of a couple of hours to explore a city. For this the DTG interrogates Tour Building Blocks (TBB), e.g. potential sights or restaurants, to determine current information, e.g. opening hours or availability. An(More)
In order to organize huge document collections, labeled hierarchical structures are used frequently. Users are most efficient in navigating such hierarchies, if they reflect their personal interests. Thus, we propose in this article an approach that is able to derive a personalized hierarchical structure from a document collection. The approach is based on(More)
Standard tours combined with lack of information make many tourists miss some important experiences a destination has to offer. The target of the Dynamic Tour Guide (DTG) is to discover Tour Building Blocks (TBB), e.g. attractions like sights or restaurants, dependent on the actual context which is defined by personal interests, location and schedule of a(More)
7 This article presents comparisons among the five ground-motion models described in other articles 8 within this special issue, in terms of data selection criteria, characteristics of the models and predicted 9 peak ground and response spectral accelerations. Comparisons are also made with predictions from the 10 Next Generation Attenuation (NGA) models to(More)
In this paper we present a hierarchical model of linear regression functions in the context of multi–task learning. The parameters of the linear model are coupled by a Dirichlet Process (DP) prior, which implies a clustering of related functions for different tasks. To make approximate Bayesian inference under this model we apply the Bayesian Hierarchical(More)
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