A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2820051
Abstract: We address the problem of automatically learning to classify texts by exploiting information derived from meta-features, i.e., features derived from the original bag-of-words representation. Specifically, we provide an in-depth analysis on the recently proposed distance-based… read more here.
Keywords: meta features; classification; distance based; meta ... See more keywords
Optimising human resource system strength in nurturing affective commitment: Do all meta‐features matter?
Sign Up to like & getrecommendations! Published in 2020 at "Human Resource Management Journal"
DOI: 10.1111/1748-8583.12320
Abstract: This study aims to examine three propositions of how human resource (HR) system strength meta-features—distinctiveness, consistency and consensus—operate together to better understand how they relate to affective commitment. We test a continuum proposition based on… read more here.
Keywords: meta features; human resource; affective commitment; commitment ... See more keywords
Unlocking Automated Machine Learning Efficiency: Meta-Learning Dynamics in Social Sciences for Education and Business Data
Sign Up to like & getrecommendations! Published in 2024 at "TEM Journal"
DOI: 10.18421/tem131-82
Abstract: Automated Machine Learning (AutoML) utilizing meta-learning (M-L) has gained prominence in the scientific community. Current M-L methods necessitate substantial data and computational resources for extracting meta-features encoding data properties. However, the time needed for meta-feature… read more here.
Keywords: meta; machine learning; meta features; social science ... See more keywords