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pro vyhledávání: '"Valadas, Rui"'
This paper proposes the HPIM-DM (Hard-state Protocol Independent Multicast - Dense Mode) multicast routing protocol. HPIM-DM is a hard-state version of PIM-DM that keeps its main characteristics but has faster convergence and better resilience to rep
Externí odkaz:
http://arxiv.org/abs/2002.06635
Symbolic Data Analysis (SDA) is a relatively new field of statistics that extends conventional data analysis by taking into account intrinsic data variability and structure. Unlike conventional data analysis, in SDA the features characterizing the da
Externí odkaz:
http://arxiv.org/abs/1810.06474
Autor:
Macedo, Francisco, Valadas, Rui, Carrasquinha, Eunice, Oliveira, M. Rosário, Pacheco, António
Publikováno v:
In Neurocomputing 7 November 2022 513:215-232
Autor:
Valadas, Rui
OSPF currently supports multi-area networking with two severe limitations, due to the distance vector approach taken in the inter-area routing protocol: (i) the multi-area topology is restricted to a two-level hierarchy, and (ii) globally optimal rou
Externí odkaz:
http://arxiv.org/abs/1704.08916
Feature selection problems arise in a variety of applications, such as microarray analysis, clinical prediction, text categorization, image classification and face recognition, multi-label learning, and classification of internet traffic. Among the v
Externí odkaz:
http://arxiv.org/abs/1701.07761
Feature selection methods are usually evaluated by wrapping specific classifiers and datasets in the evaluation process, resulting very often in unfair comparisons between methods. In this work, we develop a theoretical framework that allows obtainin
Externí odkaz:
http://arxiv.org/abs/1609.06575
Publikováno v:
IET Networks (Wiley-Blackwell); May2024, Vol. 13 Issue 3, p241-248, 8p
Publikováno v:
In Procedia Technology 2014 17:705-712