#### Filter Results:

#### Publication Year

1995

2011

#### Publication Type

#### Co-author

#### Publication Venue

#### Key Phrases

Learn More

A model for optimal information retrieval over a distributed document collection is described and experimentally evaluated. The fusion of retrieval results corresponding to document subcollections is performed according to the Probability Ranking Principle. Part of the model is a selection criterion for eeectively limiting the ranking process to a subset of… (More)

- Morten D hlen, Tom Lyche, Christoph Baumgarten, Rida T. Farouki, Joanne Rampersad
- 2001

To my parents Acknowledgements I would like to thank all those who gave me support for my work. My supervisor Prof. Dr. Klaus Meyer-Wegener deserves special thanks. Without his help, his encouragements, and the freedom he gave me to realize own ideas, this work would not have been possible. I am deeply indebted to Prof. Dr. Peter Schh auble, who gave me the… (More)

- Christoph Baumgarten, Ulrich Marder, G Unter Robbert, Klaus Meyer-Wegener
- 1996

In this paper a new model and architecture for information retrieval in a widely distributed hetero-genous multimedia document collection is described. The model generalizes existing probabilistic models for non-distributed information retrieval. The architecture is a conceptual realization of this model. It is hierarchically built in order to provide… (More)

This paper describes a probabilistic model for optimum information retrieval in a distributed heterogeneous environment. The model assumes the collection of documents offered by the environment to be partitioned into subcollec-tions. Documents as well as subcollections have to be indexed, where indexing methods using different indexing vocabularies can be… (More)

This paper describes a model for optimum information retrieval over a distributed document collection. The model stems from Robertson's Probability Ranking Principle: Having computed individual document rankings correlated to diierent subcollections, these local rankings are stepwise merged into a nal ranking list where the documents are ordered according… (More)

We study the asymptotic behaviour of the probability that a weighted sum of centered i.i.d. random variables X k does not exceed a constant barrier. For regular random walks, the results follow easily from classical fluctuation theory, while this theory does not carry over to weighted random walks, where essentially nothing seems to be known. First we… (More)

We consider a class of optimal stopping problems for a regular one-dimensional diffusion whose payoff depends on a linear parameter. As shown in [Bank and Föllmer(2003)] problems of this type may allow for a universal stopping signal that characterizes optimal stopping times for any given parameter via a level-crossing principle of some auxiliary process.… (More)