Relationship between loss functions and confirmation measures

K. Dembczynski; Salvatore Greco; W. Kotlowski; R. Slowinski

doi:10.1007/978-3-540-72530-5_40

Relationship between loss functions and confirmation measures

K. Dembczynski, Salvatore Greco, W. Kotlowski, R. Slowinski

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

In the paper, we present the relationship between loss functions and confirmation measures. We show that population minimizers for weighted loss functions correspond to confirmation measures. This result can be used in construction of machine learning methods, particularly, ensemble methods.

Original language	English
Title of host publication	Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference
Editors	A. An, J. Stefanowski, S. Ramanna, C. Butz, W. Pedrycz, G. Wang
Place of Publication	Berlin
Publisher	Springer
Pages	338-345
Number of pages	8
Volume	4482
Edition	4482
ISBN (Print)	9783540725299
DOIs	https://doi.org/10.1007/978-3-540-72530-5_40
Publication status	Published - 2007

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Number	4482
ISSN (Print)	0302-9743

Access to Document

10.1007/978-3-540-72530-5_40

http://link.springer.com/chapter/10.1007%2F978-3-540-72530-5_40

Cite this

Dembczynski, K., Greco, S., Kotlowski, W., & Slowinski, R. (2007). Relationship between loss functions and confirmation measures. In A. An, J. Stefanowski, S. Ramanna, C. Butz, W. Pedrycz, & G. Wang (Eds.), Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference (4482 ed., Vol. 4482, pp. 338-345). (Lecture notes in computer science; No. 4482). Springer. https://doi.org/10.1007/978-3-540-72530-5_40

Dembczynski, K. ; Greco, Salvatore ; Kotlowski, W. et al. / Relationship between loss functions and confirmation measures. Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference. editor / A. An ; J. Stefanowski ; S. Ramanna ; C. Butz ; W. Pedrycz ; G. Wang. Vol. 4482 4482. ed. Berlin : Springer, 2007. pp. 338-345 (Lecture notes in computer science; 4482).

@inbook{efc47b820f004fe9bf0468673c95f093,

title = "Relationship between loss functions and confirmation measures",

abstract = "In the paper, we present the relationship between loss functions and confirmation measures. We show that population minimizers for weighted loss functions correspond to confirmation measures. This result can be used in construction of machine learning methods, particularly, ensemble methods.",

author = "K. Dembczynski and Salvatore Greco and W. Kotlowski and R. Slowinski",

year = "2007",

doi = "10.1007/978-3-540-72530-5_40",

language = "English",

isbn = "9783540725299",

volume = "4482",

series = "Lecture notes in computer science",

publisher = "Springer",

number = "4482",

pages = "338--345",

editor = "A. An and J. Stefanowski and S. Ramanna and C. Butz and W. Pedrycz and G. Wang",

booktitle = "Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference",

edition = "4482",

}

Dembczynski, K, Greco, S, Kotlowski, W & Slowinski, R 2007, Relationship between loss functions and confirmation measures. in A An, J Stefanowski, S Ramanna, C Butz, W Pedrycz & G Wang (eds), Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference. 4482 edn, vol. 4482, Lecture notes in computer science, no. 4482, Springer, Berlin, pp. 338-345. https://doi.org/10.1007/978-3-540-72530-5_40

Relationship between loss functions and confirmation measures. / Dembczynski, K.; Greco, Salvatore; Kotlowski, W. et al.

Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference. ed. / A. An; J. Stefanowski; S. Ramanna; C. Butz; W. Pedrycz; G. Wang. Vol. 4482 4482. ed. Berlin : Springer, 2007. p. 338-345 (Lecture notes in computer science; No. 4482).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Relationship between loss functions and confirmation measures

AU - Dembczynski, K.

AU - Greco, Salvatore

AU - Kotlowski, W.

AU - Slowinski, R.

PY - 2007

Y1 - 2007

N2 - In the paper, we present the relationship between loss functions and confirmation measures. We show that population minimizers for weighted loss functions correspond to confirmation measures. This result can be used in construction of machine learning methods, particularly, ensemble methods.

AB - In the paper, we present the relationship between loss functions and confirmation measures. We show that population minimizers for weighted loss functions correspond to confirmation measures. This result can be used in construction of machine learning methods, particularly, ensemble methods.

U2 - 10.1007/978-3-540-72530-5_40

DO - 10.1007/978-3-540-72530-5_40

M3 - Chapter (peer-reviewed)

SN - 9783540725299

VL - 4482

T3 - Lecture notes in computer science

SP - 338

EP - 345

BT - Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference

A2 - An, A.

A2 - Stefanowski, J.

A2 - Ramanna, S.

A2 - Butz, C.

A2 - Pedrycz, W.

A2 - Wang, G.

PB - Springer

CY - Berlin

ER -

Dembczynski K, Greco S, Kotlowski W, Slowinski R. Relationship between loss functions and confirmation measures. In An A, Stefanowski J, Ramanna S, Butz C, Pedrycz W, Wang G, editors, Rough sets, fuzzy sets, data mining and granular computing: proceedings of the 11th international conference. 4482 ed. Vol. 4482. Berlin: Springer. 2007. p. 338-345. (Lecture notes in computer science; 4482). doi: 10.1007/978-3-540-72530-5_40

Relationship between loss functions and confirmation measures

Abstract

Publication series

Access to Document

Fingerprint

Cite this