Heterogeneous classifier ensemble with fuzzy rule-based meta learner
In heterogeneous ensemble systems, each learning algorithm learns a classifier on a given
training set to describe the relationship between a feature vector and its class label. As each …
training set to describe the relationship between a feature vector and its class label. As each …
Heterogeneous classifier ensemble with fuzzy rule-based meta learner
TT Nguyen, MP Nguyen, XC Pham… - … Sciences—Informatics and …, 2018 - dl.acm.org
We propose a heterogeneous ensemble system with a fuzzy IF-THEN rule-based meta
learner. The proposed system is highly competitive to several well-known machine learning …
learner. The proposed system is highly competitive to several well-known machine learning …
[PDF][PDF] Heterogeneous classifier ensemble with fuzzy rule-based meta learner
TT Nguyena, MP Nguyenb, XC Phamc… - Information …, 2018 - academia.edu
abstract In heterogeneous ensemble systems, each learning algorithm learns a classifier on
a given training set to describe the relationship between a feature vector and its class label …
a given training set to describe the relationship between a feature vector and its class label …