143 search results - page 3 / 29 » On Using Machine Learning for Logic BIST |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
This paper describes experiments on learning Dutch phonotactic rules using Inductive Logic Programming, a machine learning approach based on the notion of inverting resolution. Di...
SWAP
2008
13 years 6 months ago
2008
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...
IUI
1999
ACM
13 years 9 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...
AAAI
1994
13 years 6 months ago
1994
or untagged treebanks. ' When trained on an untagged This paper presents a method for constructing deterministic Prolog parsers from corpora of parsed sentences. Our approach ...