Pages that link to "Item:Q2666770"

The following pages link to Attribute reduction with fuzzy rough self-information measures (Q2666770):

Displaying 32 items.

• Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets (Q424767) (← links)
• Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction (Q1726314) (← links)
• Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing (Q2060786) (← links)
• A relative uncertainty measure for fuzzy rough feature selection (Q2060790) (← links)
• GLRM: logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy (Q2077014) (← links)
• Pointwise mutual information sparsely embedded feature selection (Q2105575) (← links)
• Sequential 3WD-based local optimal scale selection in dynamic multi-scale decision information systems (Q2105607) (← links)
• A new effect-based roughness measure for attribute reduction in information system (Q2291780) (← links)
• Rough attribute reduction with cross-entropy based on an improved shuffled frog-leaping algorithm (Q2924626) (← links)
• Fuzzy-rough attribute reduction algorithm based on \(\alpha\) information entropy (Q5367891) (← links)
• Feature selection based on label distribution and fuzzy mutual information (Q6065965) (← links)
• Unsupervised attribute reduction for mixed data based on fuzzy rough sets (Q6071274) (← links)
• Automated granule discovery in continuous data for feature selection (Q6089959) (← links)
• Information-theoretic partially labeled heterogeneous feature selection based on neighborhood rough sets (Q6099387) (← links)
• Weak multi-label learning with missing labels via instance granular discrimination (Q6118644) (← links)
• AFNFS: adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data (Q6125240) (← links)
• Granular approximations: a novel statistical learning approach for handling data inconsistency with respect to a fuzzy relation (Q6127117) (← links)
• Three-hierarchical three-way decision models for conflict analysis: a qualitative improvement and a quantitative extension (Q6154795) (← links)
• Attribute reduction based on fusion information entropy (Q6178700) (← links)
• Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels (Q6186959) (← links)
• New uncertainty measurement for categorical data based on fuzzy information structures: an application in attribute reduction (Q6186975) (← links)
• Matrix representation of the conditional entropy for incremental feature selection on multi-source data (Q6188164) (← links)
• Noise-aware and correlation analysis-based for fuzzy-rough feature selection (Q6197181) (← links)
• Incremental updating reduction for relation decision systems with dynamic conditional relation sets (Q6494650) (← links)
• Incremental feature selection approach to interval-valued fuzzy decision information systems based on \(\lambda\)-fuzzy similarity self-information (Q6494657) (← links)
• Attribute reduction with fuzzy kernel-induced relations (Q6546044) (← links)
• Modeling methods for deep fuzzy inference systems based on feature selection (Q6564961) (← links)
• Attribute reduction for heterogeneous data based on monotonic relative neighborhood granularity (Q6577640) (← links)
• Robust feature selection using label enhancement and \(\beta\)-precision fuzzy rough sets for multilabel fuzzy decision system (Q6588938) (← links)
• Attribute reduction using self-information uncertainty measures in optimistic neighborhood extreme-granulation rough set (Q6608317) (← links)
• Incremental attribute reduction for dynamic fuzzy decision information systems based on fuzzy knowledge granularity (Q6658976) (← links)
• Parallel attribute reduction algorithm for unlabeled data based on fuzzy discernibility matrix and soft deletion behavior (Q6658983) (← links)