The phrase "a sparse feature" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or statistics, where it describes a feature that has a lot of zero or missing values.
Example: "In our dataset, we identified a sparse feature that may not contribute significantly to the model's predictive power."
Alternatives: "a minimal feature" or "a thin feature".
The site's interface is similar to Muxtape, sporting a very basic layout and a sparse feature set.
In a sentence, a relation instance usually comprises a small number of words, which yields a sparse feature representation.
In this scenario, a sparse feature representation [22] where only a few latent topics describe the information that we are anticipating does the trick.
Additionally, the molecular encoding used to encode the molecules should result in a sparse feature vector to reduce the dimensionality d.
The proposed method is called Sparse Heterogeneous Feature Representation (SHFR) and it aims to solve the HDA problem through a sparse feature transformation matrix G.
Stroke is a sparse feature in TRMA, reported in only a few cases, of which, only in one case genetic study was performed, revealing a nonsense mutation, G152*, as the cause of the disease (Bergmann et al., 2009).
In this paper we propose a novel sparse feature selection framework for web image annotation, namely sparse Feature Selection based on Graph Laplacian (FSLG 2.
As a result, sparse feature matching methods for stereo correspondence were widely used at first, due to their efficiency.
To identify such useful and specific DSC biomarkers, we combined a novel sparse feature selection method with combinatorial molecular expression data focused on asymmetric self-renewal, a conspicuous property of DSCs.
In this phase, we manipulate the set of structures encoded as graphs in Phase 2 and produce an explicit sparse feature encoding as detailed in Section 2.1.
Additionally, a very large number of words can be identified with many being infrequent or unique to a single document leading to a high dimensional, sparse feature space.
