Searching for "Reasoning with Large Data Sets." – sorted by Relevance.
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Sunset scene classification using simulated image recomposition
- . The recomposition schemes boost the recall of sunset images from a reasonably large data set by 10%, while holding
- Cited by 5 (4 self) – Add To MetaCart
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A Statistical Model of Texture for Medical Image Synthesis and Analysis
- approach has significant advantages over existing methods: it can learn from very large data sets, does
- Cited by 1 (1 self) – Add To MetaCart
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Towards Novel Techniques for Reasoning in Expressive Description Logics based on
- of Innsbruck 83 Reasoning with Large Data Sets, Darko Anicic, DERI, University of Innsbruck 85 Towards a
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Deterministic Annealing for Clustering, Compression, Classification, Regression, and Related Optimization Problems
- and reasonably large data sets. As the clustering problem appears in very diverse applications, solution methods
- Cited by 152 (4 self) – Add To MetaCart
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A Comparison of Reasoning Techniques for Querying Large Description Logic ABoxes
- in the sources is usually very large. Reasoning with large data sets was extensively studied in the field
- Cited by 27 (4 self) – Add To MetaCart
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Effects of communication latency, overhead, and bandwidth in a cluster architecture
- is not overly influenced by startup characteristics, the applications must use reasonably large data sets. Given
- Cited by 94 (6 self) – Add To MetaCart
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Top-Down Induction of Clustering Trees
- it is the only pruning criterion that is implemented. It is only reliable for reasonably large data sets though
- Cited by 58 (20 self) – Add To MetaCart
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IRIS- Integrated Rule Inference System
- large instance set)[2]. Reasoning with such large data sets is a well researched field in the context
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Contents
- assistance in providing the original test data sets, I would like to acknowledge the administrator
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Ontology-Based Context Modeling
- , and reasoning scalability which refers to the difficulties of reasoning with large data sets. Language
- Cited by 3 (1 self) – Add To MetaCart

