Preface
Kersting, Kristian (Fraunhofer IAIS and University of Bonn) | Russell, Stuart (University of California, Berkeley) | Kaelbling, Leslie Pack (Massachusetts Institute of Technology) | Halevy, Alon (University of Wisconsin Madison) | Natarajan, Sriraam (University of Texas at Austin) | Mihalkova, Lilyana
Much has been achieved in the field of AI, yet much remains Gibbs sampling code in C/C . Chechetka et al. investigate relational learning for collective classification of entities to be done if we are to reach the goals we all imagine. in images. Choi et al. present a lifted inference One of the key challenges with moving ahead is closing approach for relational continuous models. Logical AI has Gogate and Domingos shows how to exploit logical structure mainly focused on complex representations, and statistical in lifted probabilistic inference. Hadiji et al. discuss AI on uncertainty.
Jul-8-2010
- Technology: