|
784
|
Learning logical definitions from relations
– J. R. Quinlan
- 1990
|
|
1739
|
Foundations of Logic Programming
– J W Lloyd
- 1984
|
|
3145
|
R.: Classification and Regression Trees
– L Breiman, J Friedman, C Stone, Olshen
- 1984
|
|
428
|
A note on inductive generalization
– G D Plotkin
- 1970
|
|
560
|
Inverse entailment and Progol
– Stephen Muggleton
- 1995
|
|
96
|
Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase
– King RD, S Muggleton, Lewis RA, Sternberg MJE
- 1992
|
|
44
|
A knowledgeintensive approach to learning relational concepts
– Michael J Pazzani, Cli ord A Brunk, Glenn Silverstein
- 1991
|
|
162
|
Machine invention of first-order predicates by inverting resolution
– S Muggleton, W Buntine
- 1988
|
|
140
|
The Utility of Knowledge in Inductive Learning
– Michael Pazzani, Dennis Kibler
- 1992
|
|
637
|
A theory and methodology of inductive learning
– R Michalski
- 1983
|
|
2888
|
Induction of Decision Trees
– J. R. Quinlan
- 1986
|
|
517
|
Generalization as search
– T Mitchell
- 1982
|
|
136
|
Concept Learning and the Problem of Small Disjuncts
– Robert C. Holte, Liane E. Acker, Bruce W. Porter
- 1995
|
|
439
|
Algorithmic Program Debugging
– E Y Shapiro
- 1983
|
|
68
|
The Application of Inductive Logic Programming to Finite Element Mesh Design
– Bojan Dolsak, Stephen Muggleton
- 1992
|
|
421
|
Learning probabilistic relational models
– Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer
- 1999
|
|
408
|
Inductive Logic Programming: Theory and Methods
– Stephen Muggleton, Luc De Raedt
- 1994
|
|
104
|
Inductive logic programming: Techniques and applications
– N Lavrac, D Dzeroski
- 1994
|
|
195
|
Logical Foundations of Artificial Intelligence
– Michael Genesereth, Nils Nilsson
- 1987
|