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Found 4 papers, 1 papers with code
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
In this paper, we proposed a new clustering-based active learning framework, namely Active Learning using a Clustering-based Sampling (ALCS), to address the shortage of labeled data.
A Software Tool for Evaluating Unmanned Autonomous Systems
The North Carolina Agriculture and Technical State University (NC A&T) in collaboration with Georgia Tech Research Institute (GTRI) has developed methodologies for creating simulation-based technology tools that are capable of inferring the perceptions and behavioral states of autonomous systems.
A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering
In this paper, a supervised feature selection method using density-based feature clustering (SFSDFC) is proposed to obtain an appropriate final feature subset for mixed-type data.
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
The correlation between labels can be exploited at different levels such as capturing the pair-wise correlation or exploiting the higher-order correlations.
