Building data integration systems today is largely done by hand, in a very labor intensive and error prone process. In this paper, we describe a conceptually new solution to this ...
Many real life optimization problems contain both hard and soft constraints, as well as qualitative conditional preferences. However, there is no single formalism to specify all t...
Carmel Domshlak, Francesca Rossi, Kristen Brent Ve...
Local search algorithms have been very successful for solving constraint satisfaction problems (CSP). However, a major weakness has been that local search is unable to detect unso...
An agent communication protocol specifies the “rules of encounter” governing a dialogue between agents in a multiagent system. In non-cooperative interactions (such as negoti...
Ulrich Endriss, Nicolas Maudet, Fariba Sadri, Fran...
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...