How to select information that matters: a comparative study on active learning strategies for classification
C. Beyer, G. Krempl, and V. Lemaire. Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, page 2. ACM, (2015)
%0 Conference Paper
%1 beyer2015select
%A Beyer, Christian
%A Krempl, Georg
%A Lemaire, Vincent
%B Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business
%D 2015
%K learning machine selective
%P 2
%T How to select information that matters: a comparative study on active learning strategies for classification
@inproceedings{beyer2015select,
added-at = {2016-10-20T17:35:39.000+0200},
author = {Beyer, Christian and Krempl, Georg and Lemaire, Vincent},
biburl = {https://www.bibsonomy.org/bibtex/280457e35ac504ff4c17b6a66c4150a7c/ans},
booktitle = {Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business},
interhash = {5c94b9d9fa3ecb0c40ada4150ad6f893},
intrahash = {80457e35ac504ff4c17b6a66c4150a7c},
keywords = {learning machine selective},
organization = {ACM},
pages = 2,
timestamp = {2016-10-20T17:35:39.000+0200},
title = {How to select information that matters: a comparative study on active learning strategies for classification},
year = 2015
}
