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Band 13633 - 12%

Rough Sets International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence
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74,99 € UVP 85,59 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.11.2022

Herausgeber

JingTao Yao + weitere

Verlag

Springer

Seitenzahl

432

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

686 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-21243-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.11.2022

Herausgeber

Verlag

Springer

Seitenzahl

432

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

686 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-21243-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Rough Sets
  • Produktbild: Rough Sets
  • Invited Papers, IRSS President Forum.-  Orthopartitions in Knowledge Representation and Machine Learning.- Rough Sets and Fuzzy Sets in Interactive Granular Computing.- MGCC: Multi-Granularity Cognitive Computing.- Three-way decision, three-world conception, and explainable AI.-  Rough set theory and applications.-  scikit-weak: A Python library for Weakly Supervised Machine Learning.- Applying Rough Set Theory for Digital Forensics Evidence Analysis.- Binary boundaries and power set space of graded rough sets and their correlative ECG (Electrocardiogram) data analysis.- Neighborhood Approximate Reducts-based Ensemble Learning Algorithm and Its Application in Software Defect Prediction.-  Granular computing and applications.-  USV Path Planning Based on Adaptive Fuzzy Reward.- A Naive Bayes Classifier Based on Neighborhood Granulation.- Matrix representations and interdependency on an L-fuzzy covering-based rough set.- Uncertainty-aware Deep Open-set Object Detection.- Classification and deep learning.-  Rule Acquisition in Generalized One-sided Decision Systems.- Density peak clustering based split-and-merge.- Multi-label feature extraction with distance-based graph attention network.- Multi-scale Subgraph Contrastive Learning for Link Prediction.- Video Object Detection with MeanShift Tracking.- MP-KMeans: K-Means with Missing Pattern for Data of Missing Not at Random.-  Conceptual Knowledge Discovery and Machine Learning Based on Three-way Decisions and Granular Computing.-  Using User’s Expression Propensity for Sarcasm Detection based on Sequential Three-way Decision.- Concept Reduction of Object-induced Three-way Concept Lattices.- An Attention-Based Token Pruning Method for Vision Transformers.- Three-way approximate criterion reduction in multi-criteria decision analysis.-  Close Contact Detection in Social Networksvia Possible Attribute Analysis.-  Uncertainty in Three-way Decisions, Granular Computing, and Data Science.-  A Probabilistic Approach to Analyzing Agent Relations in Three-Way Conflict Analysis Based on Bayesian Confirmation.- Hierarchical multi-granulation sequential three-way decisions.- KNN Ensemble Learning Integration Algorithm based on Three-way Decision.- Attribute Reduction of Crisp-Crisp Concept Lattices Based on Three-Way Decisions.- Kernelized Fuzzy Rough Sets-based Three-Way Feature Selection.- Adaptive K-means Algorithm Based on Three-Way Decision.- 3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification.- Rough-Fuzzy Clustering based on Adaptive Weighted Values and Three-way Decisions.