In our approach, the group structures are fully utilized to reduce the cost of evaluating streaming features. We have extensively evaluated the proposed method.
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We propose to perform feature selection at the group and individual feature levels simultaneously in a manner of a feature stream rather than a pre-given ...
In our approach, the group structures are fully utilized to reduce the cost of evaluating streaming features. We have extensively evaluated the proposed method.
This paper proposes to perform feature selection at the group and individual feature levels simultaneously in a manner of a feature stream rather than a ...
In this paper, we propose a new online algorithm to per- form group feature selection from feature streams named ... feature and irrelevant features in relevant ...
Group feature selection makes use of structural information among features to discover a meaningful subset of features. Existing group feature selection ...
Aug 17, 2021 · In this paper, we focus on feature interaction within and between the streaming groups and propose an Online Group Streaming Feature Selection method.
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May 16, 2022 · This paper presents a novel online group streaming feature selection method (FNE-OGSFS) using fuzzy neighborhood entropy-based uncertainty measures.
We propose a new online feature selection framework for applications with streaming features where the knowledge of the full feature space is unknown in ...
Aug 29, 2024 · The paper proposes a three-stage Streaming Feature Selection method based on Dynamic feature clustering and Particle Swarm Optimization (SFS-DPSO).