Name
Abstract | ||
|---|---|---|
Learning rules with exceptions may be of interest, especially if the exceptions are not important in some sense. Standard
Inductive Logic Programming (ILP) algorithms and classical first order logic are not well-suited for managing rules with exceptions.
Indeed, a hypothesis that is induced accumulates all the exceptions of the rules contained in it. Moreover, with multiple-class
problems, classifying an example in two different classes (even if one is the right one) is not correct, so a rule that contains
some exceptions may prevent another rule which has no exception from being useful. This paper proposes a new possibilistic
logic framework for weighted ILP. It induces rules which are progressively more and more accurate, and allows us to manage
exceptions by controlling their accumulation. In this setting, we first propose an algorithm for learning rules when the background
knowledge and the examples are stratified into layers having different levels of priority or certainty. This allows the induction
of general but uncertain rules together with more specific and less uncertain rules. A second algorithm is presented, which
does not require an initial weighted database, but still learn a default set of rules in the possibilistic setting.
|
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11518655_57 | ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty |
Keywords | Field | DocType |
machine learning,artificial intelligent,first order,statistical relational learning,probabilistic reasoning | Inductive logic programming,Functional logic programming,Inductive bias,Algorithmic learning theory,Horn clause,Statistical relational learning,Computer science,Inductive programming,Theoretical computer science,Artificial intelligence,Logic programming,Machine learning | Conference |
Volume | ISSN | ISBN |
3571 | 0302-9743 | 3-540-27326-3 |
Citations | PageRank | References |
32 | 1.84 | 49 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathieu Serrurier | 1 | 267 | 26.94 |
| Henri Prade | 2 | 10549 | 1445.02 |