| 2007 |
|---|
| 15 | | Dror Ben-Naim,
Nadine Marcus,
Michael Bain:
Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials.
CSREA EEE 2007: 3-10 |
| 2004 |
|---|
| 14 | EE | Michael Bain:
Predicate Invention and the Revision of First-Order Concept Lattices.
ICFCA 2004: 329-336 |
| 2003 |
|---|
| 13 | EE | Michael Bain:
Inductive Construction of Ontologies from Formal Concept Analysis.
Australian Conference on Artificial Intelligence 2003: 88-99 |
| 12 | EE | Ashwin Srinivasan,
Ross D. King,
Michael Bain:
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming.
Journal of Machine Learning Research 4: 369-383 (2003) |
| 2002 |
|---|
| 11 | EE | Michael Bain:
Structured Features from Concept Lattices for Unsupervised Learning and Classification.
Australian Joint Conference on Artificial Intelligence 2002: 557-568 |
| 2000 |
|---|
| 10 | EE | Ken Ueno,
Koichi Furukawa,
Michael Bain:
Motor Skill as Dynamic Constraint Satisfaction.
Electron. Trans. Artif. Intell. 4(B): 83-96 (2000) |
| 1999 |
|---|
| 9 | EE | Stephen Muggleton,
Michael Bain:
Analogical Prediction.
ILP 1999: 234-244 |
| 1995 |
|---|
| 8 | | Michael Bain,
Claude Sammut:
A Framework for Behavioural Cloning.
Machine Intelligence 15 1995: 103-129 |
| 1994 |
|---|
| 7 | | Michael Bain,
Stephen Muggleton:
Learning optimal chess strategies.
Machine Intelligence 13 1994: 291-309 |
| 6 | | Ashwin Srinivasan,
Stephen Muggleton,
Michael Bain:
The Justification of Logical Theories based on Data Compression.
Machine Intelligence 13 1994: 87-121 |
| 1993 |
|---|
| 5 | | Michael Bain,
Ashwin Srinivasan:
Inductive Logic Programming With Large-Scale Unstructured Data.
Machine Intelligence 14 1993: 235- |
| 1992 |
|---|
| 4 | | Stephen Muggleton,
Ashwin Srinivasan,
Michael Bain:
Compression, Significance, and Accuracy.
ML 1992: 338-347 |
| 1991 |
|---|
| 3 | | Michael Bain:
Experiments in Non-Monotonic Learning.
ML 1991: 380-384 |
| 1989 |
|---|
| 2 | | Stephen Muggleton,
Michael Bain,
Jean Hayes Michie,
Donald Michie:
An Experimental Comparison of Human and Machine Learning Formalisms.
ML 1989: 113-118 |
| 1 | | Donald Michie,
Michael Bain:
Machines That Learn and Machines That Teach.
SCAI 1989: 1-25 |
