Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Standard
Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees. / Auer, Peter; Holte, R. C.; Maass, W.
Proc. of the 12th International Machine Learning Conference. 1995. p. 21-29.
Proc. of the 12th International Machine Learning Conference. 1995. p. 21-29.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Harvard
Auer, P, Holte, RC & Maass, W 1995, Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees. in Proc. of the 12th International Machine Learning Conference. pp. 21-29.
APA
Auer, P., Holte, R. C., & Maass, W. (1995). Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees. In Proc. of the 12th International Machine Learning Conference (pp. 21-29)
Vancouver
Auer P, Holte RC, Maass W. Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees. In Proc. of the 12th International Machine Learning Conference. 1995. p. 21-29
Author
Bibtex - Download
@inproceedings{943f16ba169343218f197d0656243aab,
title = "Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees",
author = "Peter Auer and Holte, {R. C.} and W. Maass",
year = "1995",
language = "English",
pages = "21--29",
booktitle = "Proc. of the 12th International Machine Learning Conference",
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees
AU - Auer, Peter
AU - Holte, R. C.
AU - Maass, W.
PY - 1995
Y1 - 1995
M3 - Conference contribution
SP - 21
EP - 29
BT - Proc. of the 12th International Machine Learning Conference
ER -
