270 search results - page 12 / 54 » Learning Stochastic Logic Programs |
ACL
1998
13 years 9 months ago
1998
This paper reports a pilot study, in which Constraint Grammar inspiredruleswere learnt using the Progol machine-learning system. Rules discarding faulty readings of ambiguously ta...
ILP
2004
Springer
14 years 1 months ago
2004
Springer
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
WFLP
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
IUI
1999
ACM
13 years 12 months ago
1999
ACM
Although Programming by Demonstration (PBD) has the potential to improve the productivity of unsophisticated users, previous PBD systems have used brittle, heuristic, domain-speci...
OWLED
2007
13 years 9 months ago
2007
The use of background knowledge and the adoption of Horn clausal logic as a knowledge representation and reasoning framework are the distinguishing features of Inductive Logic Prog...