Concept

Statistical relational learning

Related publications (15)

Probabilistic structure of the distance between tributaries of given size in river networks

We analyze the distribution of the distances between tributaries of a given size (or of sizes larger than a given area) draining along either an open boundary or the mainstream of a river network. By proposing a description of the distance separating presc ...

2007

On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts

Aude Billard, Sylvain Calinon

This paper presents an architecture for solving generically the problem of extracting the relevant features of a given task in a programming by demonstration framework and the problem of generalizing the acquired knowledge to various contexts. We validate ...

2006

Bayesian Programming for Topological Global Localization with Fingerprints

Roland Siegwart, Adriana Tapus

This paper presents a localization algorithm for indoor environments. The environmental model is topological and the approach describes how a multimodal perception increases the reliability for the topological localization problem for mobile robots, by usi ...

2004

Supply and Demand System Approach to Developing Bridge Management Strategies (Comparison with Two Existing Approaches)

Eugen Brühwiler, Bryan Adey

Optimal management strategies for a group of bridges that may incur damage from flooding during a 15-year period were determined using three approaches, and then the strategies were compared. The three approaches are the supply and demand system approach a ...

2003

Improvement of Power Efficiency of Inductive Links for Implantable Devices

Catherine Dehollain, Michel Declercq, Kanber Mithat Silay

This paper presents the analysis of inductive links for remote powering of implantable devices and a method to improve the power link efficiency by modifying the geometrical parameters of planar spiral inductors. The analysis of the inductive links include ...

IEEE0

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