Updates
Deadline extended: AMAI special issue on probabilistic relational learning
Final call for papers -- note that the deadline has been extended to Sep.16!
****** Call for papers ******
Annals of Mathematics and Artificial Intelligence
Special Issue: Probabilistic Relational Learning
http://www.cs.aau.dk/~jaeger/AMAI/
Over the past 15 years relational and logical probabilistic models have
attracted an increasing interest within several research communities,
especially among researchers in the fields of probabilistic graphical
models and inductive logic programming. While perspectives and methods
differ,
the different research traditions have converged on what now emerges as the
coherent and exciting subject of probabilistic relational learning (a.k.a.
statistical relational learning, or probabilistic logic learning).
Probabilistic
relational learning deals with machine learning and data mining in
relational domains,
in which observations may be missing, partially observed, and/or noisy.
For this special issue of the Annals of Mathematics and Artificial
Intelligence
we invite high-quality papers on all aspects of probabilistic relational
models
and learning. Of particular interest are papers that provide a deeper
understanding
of fundamental mathematical, statistical or algorithmic aspects of
probabilistic
relational learning. However, papers with a focus on empirical results
and applications
(especially in the AI domain), as well as high quality review papers
are also welcome.
Some specific topics of interest are:
- Knowledge representation: expressivity and useability of relational models
- Efficient inference for relational models
- Probabilistic relational learning in artificial intelligence applications
- The role of logic in relational models and learning
- Feature construction and aggregation
- Statistical analysis and theory of relational learning
- Statistical Predicate Invention
- Dynamic Relational Models
- Making complex decisions in relational worlds
Papers can be submitted by email to any of the guest editors. Submission
deadline
is September 16, 2007.
Guest editors:
Manfred Jaeger
Institut for Datalogi
Aalborg University
Fredrik Bajers Vej 7E
9220 Aalborg
Denmark
jaeger@cs.aau.dk
Lise Getoor
Computer Science Dpt./UMIACS
AV Williams Building, Room 3217
University of Maryland
College Park, MD 20742
USA
getoor@cs.umd.edu
Kristian Kersting
MIT CSAIL
Room 32-G480
32 Vassar St.
Cambridge, MA 02139-4307
USA
kersting@csail.mit.edu