|
1325
|
Experiments with a New Boosting Algorithm
– Yoav Freund, Robert E. Schapire
- 1996
|
|
141
|
Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction
– Ashwin Srinivasan Muggleton, Ashwin Srinivasan, S. H. Muggleton, M. J. E. Sternberg, R. D. King
- 1996
|
|
13
|
An Empirical Evaluation of Bagging in Inductive Logic Programming
– Inês De Castro Dutra, Vitor Santos Costa, Jude Shavlik
- 2002
|
|
1998
|
Bagging Predictors
– Leo Breiman, Leo Breiman
- 1996
|
|
151
|
Popular ensemble methods: an empirical study
– David Opitz, Richard Maclin
- 1999
|
|
80
|
A Simple, Fast, and Effective Rule Learner
– William W. Cohen, Yoram Singer
- 1999
|
|
39
|
Theoretical Views of Boosting and Applications
– Robert E. Schapire
- 1999
|
|
606
|
Boosting the margin: A new explanation for the effectiveness of voting methods
– Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee
- 1997
|
|
62
|
Feature construction with Inductive Logic Programming: a study of quantitative predictions of chemical activity aided by structural attributes
– Ashwin Srinivasan, R. D. King, Biomolecular Modelling Laboratory
- 1996
|
|
560
|
Inverse entailment and Progol
– Stephen Muggleton
- 1995
|
|
962
|
Learning Stochastic Logic Programs
– Stephen Muggleton
- 2000
|
|
11
|
Demand-Driven Construction of Structural Features in ILP
– Stefan Kramer
- 2001
|
|
5
|
Contribution of Boosting in Wrapper Models
– M Sebban, R Nock
- 1999
|
|
47
|
Relating chemical activity to structure: an examination of ILP successes
– Ross D. King, Ashwin Srinivasan, Michael J. E. Sternberg
- 1995
|
|
90
|
Boosting in the limit: Maximizing the margin of learned ensembles
– Adam J. Grove, Dale Schuurmans
- 1998
|
|
28
|
Feature construction with version spaces for biochemical applications
– S Kramer, L De Raedt
- 2001
|
|
51
|
Multivariate information transmission
– W J McGill
- 1954
|
|
4405
|
A mathematical theory of communication
– C E Shannon
- 1948
|
|
9
|
M.: Guide to the financial data set
– P Berka, Sochorová
- 1999
|
