Sample re-weighting hyper box classifier for multi-class data classification
نویسندگان
چکیده
منابع مشابه
Sample re-weighting hyper box classifier for multi-class data classification
http://dx.doi.org/10.1016/j.cie.2015.02.022 0360-8352/ 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). ⇑ Corresponding author. Tel.: +44 2076792563; fax: +44 2073882348. E-mail addresses: [email protected] (L. Yang), [email protected] (S. Liu), [email protected] (S. Tsoka), l.papageorg...
متن کاملWeighting Class Adjustments for Sample Survey
JONES, SHELTON MAURICE. Improved Variance Estimators Using Weighting Class Adjustments for Sample Survey Nonresponse. (Under the direction of Robert G. D. Steel.) In large-scale sample surveys, there will always be the problem of nonresponse. There are several imputation procedures designed to adjust for nonresponding sampling units. Among these are weighting class adjustments. One of the metho...
متن کاملData-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Correcting Output Coding (ECOC), which uses a code matrix to decompose a multi-class problem into multiple binary problems. ECOC for multi-class classification hinges on the design of the code matrix. We propose to explor...
متن کاملMulti-class Classification in Big Data
The paper suggests the on-line multi-class classi er with a sublinear computational complexity relative to the number of training objects. The proposed approach is based on the combining of two-class probabilistic classi ers. Pairwise coupling is a popular multi-class classication method that combines all comparisons for each pair of classes. Unfortunately pairwise coupling su ers in many cases...
متن کاملMORD: Multi-class Classifier for Ordinal Regression
We show that classification rules used in ordinal regression are equivalent to a certain class of linear multi-class classifiers. This observation not only allows to design new learning algorithms for ordinal regression using existing methods for multi-class classification but it also allows to derive new models for ordinal regression. For example, one can convert learning of ordinal classifier...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers & Industrial Engineering
سال: 2015
ISSN: 0360-8352
DOI: 10.1016/j.cie.2015.02.022