-
1
-
-
0001371923
-
Fast discovery c association rules
-
U. Fayyad, G. Piatetski Shapiro, P. Smyth, and R. Uthurusamy, Eds. AAAI Press
-
Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., and Verkamo, A. 1996. Fast discovery c association rules. In Advances in Knowledge Discovery and Data Mining, U. Fayyad, G. Piatetski Shapiro, P. Smyth, and R. Uthurusamy, Eds. AAAI Press, 307-328
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 307-328
-
-
Agrawal, R.1
Mannila, H.2
Srikant, R.3
Toivonen, H.4
Verkamo, A.5
-
2
-
-
0003710495
-
Inductive Logic Programming: From Machine Learning t Software Engineering
-
The MIT Press
-
Bergadano, F. and Gunetti, D. 1995. Inductive Logic Programming: From Machine Learning t Software Engineering. The MIT Press
-
(1995)
-
-
Bergadano, F.1
Gunetti, D.2
-
3
-
-
0003851190
-
A Study inDeep and QualitativeKnowledg for Expert Systems
-
MIT Press, Cambridge, MA
-
Bratko, I., Mozetic, I., and Lavrac, N. 1989. KARDIO. A Study inDeep and QualitativeKnowledg for Expert Systems. MIT Press, Cambridge, MA
-
(1989)
KARDIO
-
-
Bratko, I.1
Mozetic, I.2
Lavrac, N.3
-
7
-
-
34249966007
-
The CN2 induction algorithm
-
Clark, P. and Niblett, T. 1989. The CN2 induction algorithm. Machine Learning 3, 4, 261 283
-
(1989)
Machine Learning
, vol.3
, Issue.4
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
9
-
-
84947422232
-
Attribute-value learning versus inductive logic programming: The miss ing links
-
D. Page, Ed. Lecture Notes in Artificial Intelligence, Springer-Verlag
-
De Raedt, L. 1998. Attribute-value learning versus inductive logic programming: The miss ing links. In Proceedings of the 8th International Conference on Inductive Logic Programming D. Page, Ed. Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag, 1-8
-
(1998)
Proceedings of the 8th International Conference on Inductive Logic Programming
, vol.1446
, pp. 1-8
-
-
De Raedt, L.1
-
11
-
-
0030649484
-
Solving the multiple-instance problem with axis-parallel rectangles
-
Dietterich, T., Lathrop, R., and Lozano-Perez, T. 1997. Solving the multiple-instance problem with axis-parallel rectangles. Artificial Intelligence 89, 31-71
-
(1997)
Artificial Intelligence
, vol.89
, pp. 31-71
-
-
Dietterich, T.1
Lathrop, R.2
Lozano-Perez, T.3
-
13
-
-
0003641269
-
Advances in Knowledg Discovery and Data Mining
-
The MIT Press
-
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, E. 1995. Advances in Knowledg Discovery and Data Mining. The MIT Press
-
(1995)
-
-
Fayyad, U.1
Piatetsky-Shapiro, G.2
Smyth, P.3
Uthurusamy, E.4
-
14
-
-
5644289042
-
Are substitutions the better examples?
-
L. De Raedt, Ed. Department of Computer Science, Katholieke Universitei Leuven
-
Fensel, D., Zickwolff, M., and Wiese, M. 1995. Are substitutions the better examples? Learnin complete sets of clauses with Frog. In Proceedings of the 5th International Workshop on Inductiv Logic Programming, L. De Raedt, Ed. Department of Computer Science, Katholieke Universitei Leuven, 453-474
-
(1995)
Learnin complete sets of clauses with Frog. In Proceedings of the 5th International Workshop on Inductiv Logic Programming
, pp. 453-474
-
-
Fensel, D.1
Zickwolff, M.2
Wiese, M.3
-
15
-
-
84874455572
-
-
D. Page, Ec Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag
-
Flach, P. A., Giraud-Carrier, C., and Lloyd, J. 1998. Strongly typed inductive concept learning In Proceedings of the 8th International Conference on Inductive Logic Programming, D. Page, Ec Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag, 185-194
-
(1998)
Strongly typed inductive concept learning In Proceedings of the 8th International Conference on Inductive Logic Programming
, pp. 185-194
-
-
Flach, P.A.1
Giraud-Carrier, C.2
Lloyd, J.3
-
16
-
-
84949227828
-
A first-order Bayesian classifier
-
S. Dzeroski and P. A. Flach, Eds Lecture Notes in Artificial Intelligence, Springer-Verlag
-
Flach, P. A. and Lachiche, N. 1999. A first-order Bayesian classifier. In Proceedings of th 9th International Workshop on Inductive Logic Programming, S. Dzeroski and P. A. Flach, Eds Lecture Notes in Artificial Intelligence, vol. 1634. Springer-Verlag, 92-103
-
(1999)
Proceedings of th 9th International Workshop on Inductive Logic Programming
, vol.1634
, pp. 92-103
-
-
Flach, P.A.1
Lachiche, N.2
-
17
-
-
84947921682
-
Knowledge representation for inductive learning
-
A. Hunter and S. Parsons, Eds. Lecture Notes in Artificial Intelligence, vol. 1638. Springer-Verlag
-
Flach, P. A. 1999. Knowledge representation for inductive learning. In Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99), A. Hunter and S. Parsons, Eds. Lecture Notes in Artificial Intelligence, vol. 1638. Springer-Verlag, 160-167
-
(1999)
Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99)
, pp. 160-167
-
-
Flach, P.A.1
-
19
-
-
0034832530
-
Confirmation-guided discovery of first-order rules with Ter-tius
-
Flach, P. A. and Lachiche, N. 2001. Confirmation-guided discovery of first-order rules with Ter-tius. Machine Learning 42, V2, 61-95
-
(2001)
Machine Learning
, vol.42
, Issue.V2
, pp. 61-95
-
-
Flach, P.A.1
Lachiche, N.2
-
22
-
-
85099325734
-
Irrelevant features and the subset selection problem
-
Morgan Kaufmann
-
John, G., Kohavi, R., and Pfleger, K. 1994. Irrelevant features and the subset selection problem. In Proceedings of the 11th International Conference on Machine Learning. Morgan Kaufmann, 190-198
-
(1994)
Proceedings of the 11th International Conference on Machine Learning
, pp. 190-198
-
-
John, G.1
Kohavi, R.2
Pfleger, K.3
-
23
-
-
84957894431
-
Learning with abduction
-
S. DZeroski and N. Lavrac, Eds. Lecture Notes in Artificial Intelligence, vol. 1297. Springer-Verlag
-
Kakas, A. and Riguzzi, F. 1997. Learning with abduction. In Proceedings of the 7th International Workshop on Inductive Logic Programming, S. DZeroski and N. Lavrac, Eds. Lecture Notes in Artificial Intelligence, vol. 1297. Springer-Verlag, 181-188
-
(1997)
Proceedings of the 7th International Workshop on Inductive Logic Programming
, pp. 181-188
-
-
Kakas, A.1
Riguzzi, F.2
-
24
-
-
84897578385
-
Repeat learning using predicate invention
-
D. Page, Ed. Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag
-
Khan, K., Muggleton, S., and Parson, R. 1998. Repeat learning using predicate invention. In Proceedings of the 8th International Conference on Inductive Logic Programming, D. Page, Ed. Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag, 165-174
-
(1998)
Proceedings of the 8th International Conference on Inductive Logic Programming
, pp. 165-174
-
-
Khan, K.1
Muggleton, S.2
Parson, R.3
-
25
-
-
0002192370
-
Explora: A multipattern and multistrategy discovery assistant
-
U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, Eds. AAAI Press
-
Klcosgen, W. 1996. Explora: A multipattern and multistrategy discovery assistant. In Advances in Knowledge Discovery and Data Mining, U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, Eds. AAAI Press, 249-271
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 249-271
-
-
Klcosgen, W.1
-
28
-
-
84947420409
-
Stochastic propositionalization of nondeterminate background knowledge
-
D. Page, Ed. Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag
-
Kramer, S., Pfahringer, B., and Helma, C. 1998. Stochastic propositionalization of nondeterminate background knowledge. In Proceedings of the 8th International Conference on Inductive Logic Programming, D. Page, Ed. Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag, 80-94
-
(1998)
Proceedings of the 8th International Conference on Inductive Logic Programming
, pp. 80-94
-
-
Kramer, S.1
Pfahringer, B.2
Helma, C.3
-
29
-
-
85029527964
-
Background knowledge and declarative bias in inductive concept learning
-
K. Jantke, Ed. Springer-Verlag, (Invited paper)
-
Lavrač, N. and Dzeroski, S. 1992. Background knowledge and declarative bias in inductive concept learning. In Proceedings 3rd International Workshop on Analogical and Inductive Inference, K. Jantke, Ed. Springer-Verlag, 51-71. (Invited paper)
-
(1992)
Proceedings 3rd International Workshop on Analogical and Inductive Inference
, pp. 51-71
-
-
Lavrač, N.1
Dzeroski, S.2
-
30
-
-
0004080766
-
Inductive Logic Programming: Techniques and Applications
-
Ellis Horwood
-
Lavrač, N. and Dzeroski, S. 1994. Inductive Logic Programming: Techniques and Applications. Ellis Horwood
-
(1994)
-
-
Lavrač, N.1
Dzeroski, S.2
-
31
-
-
84950502571
-
Learning nonrecursive definitions of relations with LINUS
-
Y. Kodratoff, Ed. Lecture Notes in Artificial Intelligence, Springer-Verlag
-
Lavrač, N., Dzeroski, S., and Grobelnik, M. 1991. Learning nonrecursive definitions of relations with LINUS. In Proceedings of the 5th European Working Session on Learning, Y. Kodratoff, Ed. Lecture Notes in Artificial Intelligence, vol. 482. Springer-Verlag, 265-281
-
(1991)
Proceedings of the 5th European Working Session on Learning
, vol.482
, pp. 265-281
-
-
Lavrač, N.1
Dzeroski, S.2
Grobelnik, M.3
-
32
-
-
0011785695
-
An approach to dimensionality reduction in learning from deductive databases
-
L. De Raedt, Ed. Department of Computer Science, Katholieke Universiteit Leuven
-
Lavrač, N., Gamberger, D., and Dzeroski, S. 1995. An approach to dimensionality reduction in learning from deductive databases. In Proceedings of the 5th International Workshop on Inductive Logic Programming, L. De Raedt, Ed. Department of Computer Science, Katholieke Universiteit Leuven, 337-354
-
(1995)
Proceedings of the 5th International Workshop on Inductive Logic Programming
, pp. 337-354
-
-
Lavrač, N.1
Gamberger, D.2
Dzeroski, S.3
-
33
-
-
0032648857
-
-
(August/September)
-
Lavrač, N., Gamberger, D., and Jovanoski, V. 1999. A study of relevance for learning in deductive databases. Journal of Logic Programming 40, 2-3 (August/September), 215-249
-
Journal of Logic Programming
, vol.40
, Issue.2-3
, pp. 215-249
-
-
Lavrač, N.1
Gamberger, D.2
Jovanoski, V.3
-
34
-
-
0032027879
-
A relevancy filter for constructive induction
-
(March-April)
-
Lavrač, N., Gamberger, D., and Turney, P. 1998. A relevancy filter for constructive induction. IEEE Intelligent Systems 13, 2 (March-April), 50-56
-
IEEE Intelligent Systems
, vol.13
, pp. 50-56
-
-
Lavrač, N.1
Gamberger, D.2
Turney, P.3
-
36
-
-
0013157568
-
Programming in an integrated functional and logic language
-
(March)
-
Lloyd, J. 1999. Programming in an integrated functional and logic language. Journal of Functional and Logic Programming 1999, 3 (March)
-
(1999)
Journal of Functional and Logic Programming
, pp. 3
-
-
Lloyd, J.1
-
37
-
-
0003046840
-
A theory and methodology of inductive learning
-
R. Michalski, J. Carbonell, and T. Mitchell, Eds. Tioga, Palo Alto, CA
-
Michalski, R. 1983. A theory and methodology of inductive learning. In Machine Learning: An Artificial Intelligence Approach, R. Michalski, J. Carbonell, and T. Mitchell, Eds. Vol. I. Tioga, Palo Alto, CA, 83-134
-
(1983)
Machine Learning: An Artificial Intelligence Approach
, vol.1
, pp. 83-134
-
-
Michalski, R.1
-
38
-
-
2442612280
-
To the international computing community: A new East-West challenge
-
Oxford University Computing laboratory, Oxford, UK
-
Michie, D., Muggleton, S., Page, D., and Srinivasan, A. 1994. To the international computing community: A new East-West challenge. Tech. rep., Oxford University Computing laboratory, Oxford, UK
-
(1994)
Tech. rep.
-
-
Michie, D.1
Muggleton, S.2
Page, D.3
Srinivasan, A.4
-
39
-
-
84949217475
-
Learning rules that classify ocular fundus images for glaucoma diagnosis
-
S. Muggleton, Ed. Lecture Notes in Artificial Intelligence, vol. 1314. Springer-Verlag
-
Mizoguchi, F., Ohwada, H., Daidoji, M., and Shirato, S. 1996. Learning rules that classify ocular fundus images for glaucoma diagnosis. In Proceedings of the 6th International Workshop on Inductive Logic Programming, S. Muggleton, Ed. Lecture Notes in Artificial Intelligence, vol. 1314. Springer-Verlag, 146-162
-
(1996)
Proceedings of the 6th International Workshop on Inductive Logic Programming
, pp. 146-162
-
-
Mizoguchi, F.1
Ohwada, H.2
Daidoji, M.3
Shirato, S.4
-
40
-
-
0004109056
-
Inductive Logic Programming
-
Academic Press
-
Muggleton, S., Ed. 1992. Inductive Logic Programming. Academic Press
-
(1992)
-
-
Muggleton, S.1
-
41
-
-
77951503082
-
Inverse entailment and Progol
-
Special issue on Inductive Logic Programming
-
Muggleton, S. 1995. Inverse entailment and Progol. New Generation Computing, Special issue on Inductive Logic Programming 13, 3-4, 245-286
-
(1995)
New Generation Computing
, vol.13
, Issue.3-4
, pp. 245-286
-
-
Muggleton, S.1
-
42
-
-
0028429573
-
Inductive logic programming: Theory and methods
-
Muggleton, S. and De Raedt, L. 1994. Inductive logic programming: Theory and methods. Journal of Logic Programming 19-20, 629-679
-
Journal of Logic Programming
, vol.19
, Issue.20
, pp. 629-679
-
-
Muggleton, S.1
Raedt, D.2
-
44
-
-
33745309998
-
Protein secondary structure prediction using logic
-
S. Muggleton, Ed. Report ICOT TM-1182
-
Muggleton, S., King, R., and Sternberg, M. 1992. Protein secondary structure prediction using logic. In Proceedings of the 2nd International Workshop on Inductive Logic Programming, S. Muggleton, Ed. Report ICOT TM-1182. 228-259
-
(1992)
Proceedings of the 2nd International Workshop on Inductive Logic Programming
, pp. 228-259
-
-
Muggleton, S.1
King, R.2
Sternberg, M.3
-
45
-
-
84949217557
-
Biochemical knowledge discovery using Inductive Logic Programming
-
H. Motoda, Ed. Springer-Verlag, Berlin
-
Muggleton, S., Srinivasan, A., King, R., and Sternberg, M. 1998. Biochemical knowledge discovery using Inductive Logic Programming. In Proceedings of the first Conference on Discovery Science, H. Motoda, Ed. Springer-Verlag, Berlin
-
(1998)
Proceedings of the first Conference on Discovery Science
-
-
Muggleton, S.1
Srinivasan, A.2
King, R.3
Sternberg, M.4
-
46
-
-
0004109057
-
Foundations of Inductive Logic Programming
-
Lecture Notes in Artificial Intelligence, Springer-Verlag
-
Nienhuys-Cheng, S.-H. and De Wolf, R. 1997. Foundations of Inductive Logic Programming. Lecture Notes in Artificial Intelligence, vol. 1228. Springer-Verlag
-
(1997)
-
-
Nienhuys-Cheng, S.-H.1
De Wolf, R.2
-
48
-
-
0025389210
-
Boolean feature discovery in empirical learning
-
Pagallo, G. and Haussler, D. 1990. Boolean feature discovery in empirical learning. Machine Learning 5, 71-99
-
(1990)
Machine Learning
, vol.5
, pp. 71-99
-
-
Pagallo, G.1
Haussler, D.2
-
49
-
-
0001172265
-
Learning logical definitions from relations
-
Quinlan, J. 1990. Learning logical definitions from relations. Machine Learning 5, 239-266
-
(1990)
Machine Learning
, vol.5
, pp. 239-266
-
-
Quinlan, J.1
-
50
-
-
84934555448
-
Flattening and saturation: Two representation changes for generalization
-
Rouveirol, C. 1994. Flattening and saturation: Two representation changes for generalization. Machine Learning 14, 2, 219-232
-
(1994)
Machine Learning
, vol.14
, Issue.2
, pp. 219-232
-
-
Rouveirol, C.1
-
52
-
-
0012657799
-
Prototype and feature selection by sampling and random mutation hill climbing algorithms
-
Morgan Kaufmann
-
Skalak, D. 1994. Prototype and feature selection by sampling and random mutation hill climbing algorithms. In Proceedings of the 11th International Conference on Machine Learning. Morgan Kaufmann, 293-301
-
(1994)
Proceedings of the 11th International Conference on Machine Learning
, pp. 293-301
-
-
Skalak, D.1
-
53
-
-
9444248896
-
Feature construction with inductive logic programming: A study of quantitative predictions of biological activity aided by structural attributes
-
S. Muggleton, Ed. Lecture Notes in Artificial Intelligence, vol. 1314. Springer-Verlag
-
Srinivasan, A. and King, R. 1996. Feature construction with inductive logic programming: A study of quantitative predictions of biological activity aided by structural attributes. In Proceedings of the 6th International Workshop on Inductive Logic Programming, S. Muggleton, Ed. Lecture Notes in Artificial Intelligence, vol. 1314. Springer-Verlag, 89104
-
(1996)
Proceedings of the 6th International Workshop on Inductive Logic Programming
, pp. 89104
-
-
Srinivasan, A.1
King, R.2
-
54
-
-
0005500020
-
Predicate invention in inductive logic programming
-
L. De Raedt, Ed. lOS Press
-
Stahl, I. 1996. Predicate invention in inductive logic programming. In Advances in Inductive Logic Programming, L. De Raedt, Ed. lOS Press, 34-47
-
(1996)
Advances in Inductive Logic Programming
, pp. 34-47
-
-
Stahl, I.1
-
55
-
-
2442631838
-
Low size-complexity inductive logic programming: The East-West challenge considered as a problem in cost-sensitive classification
-
L. De Raedt, Ed. lOS Press
-
Turney, P. 1996. Low size-complexity inductive logic programming: The East-West challenge considered as a problem in cost-sensitive classification. In Advances in Inductive Logic Programming, L. De Raedt, Ed. lOS Press, 308-321
-
(1996)
Advances in Inductive Logic Programming
, pp. 308-321
-
-
Turney, P.1
-
56
-
-
85040876697
-
Principles of Database and Knowledge Base Systems
-
Computer Science Press, Rockville, MA
-
Ullman, J. 1988. Principles of Database and Knowledge Base Systems. Vol. I. Computer Science Press, Rockville, MA
-
(1988)
-
-
Ullman, J.1
-
57
-
-
27544477092
-
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
-
Witten, I. and Frank, E. 2000. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann
-
(2000)
Morgan Kaufmann
-
-
Witten, I.1
Frank, E.2
-
60
-
-
84947432924
-
Learning structurally indeterminate clauses
-
D. Page, Ed. Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag
-
Zucker, J. and Ganascia, J. 1998. Learning structurally indeterminate clauses. In Proceedings of the 8th International Conference on Inductive Logic Programming, D. Page, Ed. Lecture Notes in Artificial Intelligence, vol. 1446. Springer-Verlag, 235-244
-
(1998)
Proceedings of the 8th International Conference on Inductive Logic Programming
, pp. 235-244
-
-
Zucker, J.1
Ganascia, J.2
|