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pro vyhledávání: '"E.1"'
Autor:
Krawczyk, Tomasz
In the work [$\mathcal{O}(m\cdot n)$ algorithms for the recognition and isomorphism problems on circular-arc graphs, SIAM J. Comput. 24(3), 411--439, (1995)], Wen-Lian Hsu claims three results concerning the class of circular-arc graphs: - the design
Externí odkaz:
http://arxiv.org/abs/2411.13708
Autor:
Krawczyk, Tomasz
Circular-arc graphs are the intersection graphs of arcs of a circle. The main result of this work describes the structure of all \emph{normalized intersection models} of circular-arc graphs. Normalized models of a circular-arc graph reflect the neigh
Externí odkaz:
http://arxiv.org/abs/2411.13374
Efficient learning from streaming data is important for modern data analysis due to the continuous and rapid evolution of data streams. Despite significant advancements in stream pattern mining, challenges persist, particularly in managing complex da
Externí odkaz:
http://arxiv.org/abs/2411.00074
Autor:
Diop, Lamine, Plantevit, Marc
Discovering valuable insights from data through meaningful associations is a crucial task. However, it becomes challenging when trying to identify representative patterns in quantitative databases, especially with large datasets, as enumeration-based
Externí odkaz:
http://arxiv.org/abs/2410.22964
The autonomous exploration of environments by multi-robot systems is a critical task with broad applications in rescue missions, exploration endeavors, and beyond. Current approaches often rely on either greedy frontier selection or end-to-end deep r
Externí odkaz:
http://arxiv.org/abs/2410.19373
Autor:
Biedermann, Ben, Gibrel, Fahima
This report introduces the Grant Maturity Index (GMI), a novel evaluative framework designed to assess the maturity and operational effectiveness of Web3 grant programs. As Web3 continues to develop, the decentralized nature of these programs brings
Externí odkaz:
http://arxiv.org/abs/2410.19828
We present a new unified graph-based representation of medical data, combining genetic information and medical records of patients with medical knowledge via a unique knowledge graph. This approach allows us to infer meaningful information and explan
Externí odkaz:
http://arxiv.org/abs/2410.14739
In this note, we consider the problem of generating $k$-factorable graphic sequences with connected (resp. no connected) $k$-factors.
Comment: 14 pages; 16 figures
Comment: 14 pages; 16 figures
Externí odkaz:
http://arxiv.org/abs/2410.18999
Wikipedia (Wiki) is one of the most widely used and publicly available resources for natural language processing (NLP) applications. Wikipedia Revision History (WikiRevHist) shows the order in which edits were made to any Wiki page since its first mo
Externí odkaz:
http://arxiv.org/abs/2410.04410
The reliance on data-driven decision-making across sectors highlights the critical need for high-quality data; despite advancements, data quality issues persist, significantly impacting business strategies and scientific research. Current data qualit
Externí odkaz:
http://arxiv.org/abs/2410.14692