most citedKnowledge revision in systems based on an informed tree search strategy : application to cartographic generalisation

11 citations

5 papers

cs.AI201211 cited

Knowledge revision in systems based on an informed tree search strategy : application to cartographic generalisation

Patrick Taillandier, Cécile Duchêne, Alexis Drogoul

Many real world problems can be expressed as optimisation problems. Solving this kind of problems means to find, among all possible solutions, the one that maximises an evaluation…

cs.LG20124 cited

Objective Function Designing Led by User Preferences Acquisition

Patrick Taillandier, Julien Gaffuri

Many real world problems can be defined as optimisation problems in which the aim is to maximise an objective function. The quality of obtained solution is directly linked to the p…

cs.AI20124 cited

Using Belief Theory to Diagnose Control Knowledge Quality. Application to cartographic generalisation

Patrick Taillandier, Cécile Duchêne, Alexis Drogoul

Both humans and artificial systems frequently use trial and error methods to problem solving. In order to be effective, this type of strategy implies having high quality control kn…

cs.AI2012

Automatic Sampling of Geographic objects

Patrick Taillandier, Julien Gaffuri

Today, one's disposes of large datasets composed of thousands of geographic objects. However, for many processes, which require the appraisal of an expert or much computational tim…

cs.HC2012

Designing generalisation evaluation function through human-machine dialogue

Patrick Taillandier, Julien Gaffuri

Automated generalisation has known important improvements these last few years. However, an issue that still deserves more study concerns the automatic evaluation of generalised da…