Clustering under constraints is a recent innovation in the artificial intelligence community that has yielded significant practical benefit. However, recent work has shown that fo...
For many large systems the computational complexity of complete model-based diagnosis is prohibitive. In this paper we investigate the speedup of the diagnosis process by exploiti...
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
We present a novel approach to describe and reason about stateless information processing services. It can be seen as an extension of standard descriptions which makes explicit th...
Duncan Hull, Evgeny Zolin, Andrey Bovykin, Ian Hor...
Teams of robots are more fault tolerant than single robots, and auctions appear to be promising means for coordinating them. In a recent paper at "Robotics: Science and Syste...
Sven Koenig, Craig A. Tovey, Michail G. Lagoudakis...