Name (abbrev)

Name (full)

Category

Last update

LINUS

Samples from ILP systems

b D, Y

Application domain

Further specifications

LINUS

paper, datasets

Type

Format

Complexity

ILP

Linus

small examples

WWW / FTP

ftp://ftp.mlnet.org/ml-archive/ILP/public/software/linus/
ftp://ftp.mlnet.org/ml-archive/ILP/public/papers/nonrec-learn.ps

Contact person(s)

Related group(s)

Optional contact address

2. Dzeroski, Saso
3. Lavrac, Nada

2. Jozef Stefan Institute, Department of Intelligent

[email protected]

References

Dietterich,T.G. and Michalski,R.S. (1986). Learning to
predict sequences. In Michalski,R.S., Carbonell,J.G. and
Mitchell,T.M. (eds.) Machine learning: An artificial
intelligence approach (volume 2). Los Altos: Morgan Kaufmann.

N. Lavrac, S. Dzeroski, and M. Grobelnik.
Learning nonrecursive definitions of relations with LINUS.
In Proc. Fifth European Working Session on Learning, 265-281.
Springer, Berlin, 1991.

N. Lavrac, S. Dzeroski, and M. Grobelnik.
Experiments in learning nonrecursive definitions of relations with LINUS.
Technical Report IJS-DP 5863, Jozef Stefan Institute, Ljubljana, Slovenia,
1990.

Michalski,R.S. (1980). Pattern recognition as rule-guided
inductive infernece. IEEE Transactions on Pattern Analysis and
Machine Intelligence, 2:349-361

Quinlan,R. (1990). Learning logical definitions from
relations. Machine Learning, 5(3):239-266

Winston,P.H. (1975). Learning structural descriptions from
examples. In: Winston,P.H. (ed.) The psychology of computer
vision. New York: McGraw-Hill

Annotations

This distribution includes several small datasets addopted from the ML literature in the format appropriate for LINUS [Lavrac et al. 91, Lavrac et al. 90]. The problems include:

• learning family relationships [Michalski 80] (file dhdbmoth.pl)
  
• learning the concept of an arch [Winston 75] (file dhdbarch.pl)
  
• learning where trains are heading [Michalski 80] (file dhdbeast.pl)
  
• learning rules governing card sequences in the game Eleusis [Dietterich 86] (files dhdbele[123m].pl)
  

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