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A Model of Machine Learning Based on User Preference of Attributes
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11539827_3openalex-snapshot
A Measurement-Theoretic Foundation of Rule Interestingness Evaluation
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On Reduct Construction Algorithms
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Wrappers for feature subset selection
inferredcites →https://doi.org/10.1016/s0004-3702(97)00063-5openalex-snapshot
Selection of relevant features and examples in machine learning
inferredcites →https://doi.org/10.1016/s0167-8655(02)00196-4openalex-snapshot
Rough set methods in feature selection and recognition
inferredcites →https://doi.org/10.1109/34.824819openalex-snapshot
Statistical pattern recognition: a review
inferredcites →https://doi.org/10.21236/ad0708563openalex-snapshot
UTILITY THEORY FOR DECISION MAKING
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Model of User-Oriented Reduct Construction for Machine Learning
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A Model of User-Oriented Reduct Construction Based on Minimal Set Cover
inferred← citeshttps://doi.org/10.1007/978-981-15-1100-4_7openalex-snapshot
Multi-reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data
inferred← citeshttps://doi.org/10.1007/s10844-013-0243-xopenalex-snapshot
A novel feature selection method and its application
inferred← citeshttps://doi.org/10.1016/j.ijar.2009.08.002openalex-snapshot
Attribute dependency functions considering data efficiency
inferred← citeshttps://doi.org/10.1016/j.ijar.2018.11.003openalex-snapshot
Cost-sensitive approximate attribute reduction with three-way decisions
inferred← citeshttps://doi.org/10.1016/j.ins.2008.11.020openalex-snapshot
Discernibility matrix simplification for constructing attribute reducts
inferred← citeshttps://doi.org/10.1016/j.ins.2009.03.007openalex-snapshot
A hierarchical model for test-cost-sensitive decision systems
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Decision-relative discernibility matrices in the sense of entropies
inferred← citeshttps://doi.org/10.1109/cecnet.2012.6201923openalex-snapshot
A new method of transforming fuzzy set into vague set and its application
inferred← citeshttps://doi.org/10.1109/fskd.2014.6980805openalex-snapshot
Covering-based rough sets on covering-circuit matroids
inferred← citeshttps://doi.org/10.1109/grc.2012.6468576openalex-snapshot
Attribute reduction algorithms based on the matroidal structure of rough set
inferred← citeshttps://doi.org/10.1109/grc.2014.6982833openalex-snapshot
Regarding covering as a collection of binary relations
inferred← citeshttps://doi.org/10.1109/kam.2008.12openalex-snapshot
A Rough Set Based Hybrid Method to Feature Selection
inferred← citeshttps://doi.org/10.1111/bmsp.12335openalex-snapshot
Constructing tests for skill assessment with competence‐based test development
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A Heuristic Algorithm to Attribute Reduction with Simple Common-cost
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Simultaneous Feature Selection and Parameter Estimation for Hidden Markov Models
inferred← citeshttps://doi.org/10.20381/ruor-2821openalex-snapshot
Improving Classification and Attribute Clustering: An Iterative Semi-supervised Approach
inferred← citeshttps://doi.org/10.3233/ida-160807openalex-snapshot
A new algorithm for computing reducts based on the binary discernibility matrix
inferred← citeshttps://doi.org/10.3233/ifs-151818openalex-snapshot
A rule induction algorithm in incomplete decision table based on attribute order
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Multimodal Navigation Systems for Users with Visual Impairments—A Review and Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.1303.3319openalex-snapshot
A new type of judgement theorems for attribute characters in information system
inferred← citeshttps://doi.org/10.48550/arxiv.1806.01116openalex-snapshot
Machine Learning for Predictive Analytics of Compute Cluster Jobs
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