Rough Sets, Kartoniert / Broschiert

Klappentext

.- Rough Set Applications.

.- Comparison of Complexity of Regular and Oblivious Decision Trees for Decision Tables from Closed Classes.

.- Applying Rough Set based Feature Selection Method to Spam Classification.

.- What Is Inside Agent Brain: Application of Learning from Examples Using Rough Sets (LEM2) Rule Induction Algorithm to Explain Actions of Vision based Machine Learning Agents Trained with Proximal Policy Optimization.

.- Quick Neighborhood Rough Set for Hierarchical Classification.

.- (θ¿θ*) Operator Driven Intuitionistic Fuzzy Matrix Composite Operation and Its Optimal Application in Medical Diagnosis.

.- User and Item sub contexts Induced Fuzzy Concept Set for Recommendation.

.- Rough Set Theory Applied to Feature Selection.

.- Fusing Land Use Knowledge with Multi granularity Temporal and Spatial Dependencies for Traffic Accident Prediction.

.- A Hybrid Multi attribute Group Decision making Method Using Normal Cloud Model and Multi granularity Information.

.- Anomaly Detection Using Fuzzy Information Entropy for Incomplete Data.

.- Feature Selection and Knowledge Discovery.

.- Feature Selection Based on Cross Neighborhood Granular Ball Layer.

.- A Dynamic Unsupervised Feature Selection Method Based on Information Sets and Fuzzy Rough Sets.

.- Distance guided Pseudo Label Graph Clustering Network.

.- Robust Feature Selection Based on Intuitionistic Hesitant Fuzzy Cross Correlation and Manifold Learning.

.- Adaptive Correlation Incorporated Latent Feature Analysis for Online Sparse Streaming Feature Selection.

.- Accelerated Feature Selection Based on Granular ball Rough Sets.

.- Online Multi label Stream Feature Selection Based on Neighborhood Approximation Error Rate and Label Correlation.

.- Cross view Fuzziness and Intra view Uncertainty based Weight Reconstruction for Multi view Feature Selection.

.- Finding Consistent Pairwise Comparisons with Genetic Algorithms.

.- Multi view Unsupervised Feature Selection Guided by Diversity and Consensus Structure.

.- Cognitive Computing.

.- Legal Similar Case Retrieval Model Based on Concept Tree and Optimal Transport.

.- Enhancing Knowledge Tracing via Random Layer wise Adversarial Training.

.- Incomplete Multi view Clustering Based on Joint Concept Decomposition and Anchor Graph Learning.

.- Frequency sensitive Sparse Transformer with Multi Granularity Refinement Network for Image Restoration.

.- TSKE: A Dual Branch Model for Knowledge Graph Embedding with Joint Textual and Structural Information.

.- Efficient Local Causal Structure Learning with Privacy Preservation.

.- The Connections Between Approximate Three way Concept Lattice and Three way Approximate Concept Lattices.

.- Concept Oriented Attribute Reduction in Three way Concept Analysis.

.- Deterministic and Nondeterministic Decision Trees for Recognition of Properties of Decision Rule Systems.

.- Concept Reduction Method Based on Attribute (Object) Reduction.