In this paper, we discuss a new and interesting problem of online group feature selection from feature streams at both the group and individual feature levels ...
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.
In this paper, we discuss a new and interesting problem of online group feature selection from feature streams at both the group and individual feature levels ...
Jun 29, 2013 · In this paper, we discuss a new and interesting problem of online group feature selection from feature streams at both the group and individual ...
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 ...
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Abstract—Group feature selection makes use of structural information among features to discover a meaningful subset of features. Existing group feature ...
Oct 22, 2024 · ... Online group streaming feature selection can consider the structural information of the features, and thus achieve better classification ...
In this problem, the candidate features arrive one at a time, and the learner's task is to select a “best so far” set of features from streaming features.
A new method is proposed based on the ensemble of multiple filter rankers to enhance the performance of feature selection methods in an online streaming ...
May 16, 2022 · This paper presents a novel online group streaming feature selection method (FNE-OGSFS) using fuzzy neighborhood entropy-based uncertainty measures.