51 search results - page 2 / 11 » Learning to Assign Degrees of Belief in Relational Domains |
NIPS
2004
13 years 6 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
SAT
2005
Springer
13 years 10 months ago
2005
Springer
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
ESANN
2007
13 years 6 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
AAAI
2006
13 years 6 months ago
2006
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
IJCAI
1993
13 years 6 months ago
1993
We describe a new approach to default reasoning, based on a principle of indi erence among possible worlds. We interpret default rules as extreme statistical statements, thus obta...