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Granular computing

Known as: Variable clustering 
Granular computing (GrC) is an emerging computing paradigm of information processing. It concerns the processing of complex information entities… Expand
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Related topics

Related topics

28 relations
Akaike information criterionAlgorithmic inferenceBayesian information criterionBelur V. Dasarathy
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Broader (2)

Machine learningTheoretical computer science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux
Abstract Lidar transforms how we map ecosystems, but its prospect for measuring ecosystem dynamics is limited by practical… Expand
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Review
2017
Review
2017
Airborne measurements of western U.S. wildfire emissions: Comparison with prescribed burning and air quality implications
Wildfires emit significant amounts of pollutants that degrade air quality. Plumes from three wildfires in the western U.S. were… Expand
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Highly Cited
2009
Highly Cited
2009
Granular Computing and Knowledge Reduction in Formal Contexts
Granular computing and knowledge reduction are two basic issues in knowledge representation and data mining. Granular structure… Expand
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Highly Cited
2008
Highly Cited
2008
Granular Computing
The basic ideas and principles of granular computing (GrC) have been studied explicitly or implicitly in many fields in isolation… Expand
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Highly Cited
2005
Highly Cited
2005
Perspectives of granular computing
  • Yiyu Yao
  • IEEE International Conference on Granular…
  • 2005
    • Corpus ID: 2045961
Granular computing emerges as a new multi-disciplinary study and has received much attention in recent years. A conceptual… Expand
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Highly Cited
2001
Highly Cited
2001
Granular computing: an introduction
  • Witold Pedrycz
  • Proceedings Joint 9th IFSA World Congress and…
  • 2001
    • Corpus ID: 60527596
The study is concerned with the fundamentals of granular computing. Granular computing, as the name itself stipulates, deals with… Expand
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Highly Cited
1998
Highly Cited
1998
Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems
We are living in a world which is undergoing profound changes brought about by rapid advances in science and technology. Among… Expand
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Highly Cited
1996
Highly Cited
1996
Efficient Implementation of Weighted ENO Schemes
In this paper, we further analyze, test, modify, and improve the high order WENO (weighted essentially non-oscillatory) finite… Expand
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Highly Cited
1995
Highly Cited
1995
Bayesian learning for neural networks
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand
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Highly Cited
1979
Highly Cited
1979
Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry.
Preschool and elementary school children were asked to study a set of items until they were sure they could recall them perfectly… Expand
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