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Estudo (Artigo (Guyon et al., 2003) (Advanced Topics and Open Problems…

- - - - INTRODUCTION
      - GENERAL PROCEDURE OF FEATURE SELECTION
        
        Subset Generation
        
        Subset Evaluation
        
        Independent Criteria
        
        Dependent Criteria
        
        Stopping Criteria
        
        Result Validation
      - A CATEGORIZING FRAMEWORK FOR FEATURE
        SELECTION ALGORITHMS
        
        A Categorizing Framework
        
        Filter Algorithm
        
        Wrapper Algorithm
        
        Hybrid Algorithm
    - - INTRODUCTION
    - - Introduction
  - - - Algorithms for Feature Selection
        
        Feature Selection Definition
        
        Characterization of FSAs
        
        Search Organization
        
        Generation of Successors
        
        Evaluation Measures
        
        General Schemes for Feature Selection
        
        General Algorithm for Feature Selection
    - - FEATURE SELECTION ALGORITHMS
        
        Deterministic, Single-Solution Methods
        
        Deterministic, Multiple-Solution Methods
        
        Stochastic, Multiple-Solution Methods
        
        Optimal Methods
        
        Node Pruning
  - - - Empirical Evaluation of FSAs
        
        Particularities to be evaluated
        
        Evaluation of Performance
      - Experimental Evaluation
        
        Description of the FSAs used
        
        Implementations of Data Families
        
        Experimental Setup
        
        Results
    - - EXPERIMENTAL RESULTS
      - SELECTION OF TEXTURE FEATURES
      - EFFECT OF TRAINING SET SIZE
        ON FEATURE SELECTION