.png){kind=icon}
返回
Output-based transfer learning in genetic programming for document classification
.png){kind=icon}
PRE
AI
DOI：10.1016/j.knosys.2020.106597.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Transfer learning has been studied in document classification for transferring a model trained from a source domain (SD) to a relatively similar target domain (TD). In feature-based transfer learning techniques, there is an investigation on the features being transferred from SD to TD. This paper conducts an investigation on an output-based transfer learning system using Genetic Programming (GP) in document classification tasks, which automatically selects features to construct classifiers. The proposed GP system directly generates programs from a set of sparse features and only considers the output change of the evolved programs from SD to TD. A linear model is then used to combine existing GP programs from SD as features to TD. Also, new GP programs are mutated from the programs evolved in SD to improve the accuracy. Via directly utilizing the evolved GP programs and their mutations, the feature extraction and estimation processes on TD are avoided. The results for the experiments demonstrates that the GP programs from SD can be effectively used for classifying documents in the relevant TD. The results also show that it is easy to train effective classifiers on TD when the GP programs are used as features. Furthermore, the proposed linear model, using multiple GP programs from SD as its inputs, outperforms single GP programs which are directly obtained from TD. (C) 2020 Elsevier B.V. All rights reserved.
Keyword:
Genetic programming
Transfer learning
Feature extraction
Document classification
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
K
IF:
7.6
论文数:
1.2W
被引数:
4.5W
机构
暂无机构信息
引用论文
Wikipedia-based hybrid document representation for textual news classification.png)
SOFT COMPUTING
SOFT COMPUTINGIF2.5
PREAI
分享收藏
Coordination complexes of niobium and tantalum. V. Eight-coordinated di- and triperoxoniobates(V) and -tantalates(V) with some nitrogen and oxygen bidentate ligands铌和钽的配合物。五。具有一些氮和氧双齿配体的八配位的二过氧化物和三过氧化物铌酸盐 (V) 和钽酸盐 (V)
PREAI
分享收藏
查看更多内容