Results 21 to 30 of about 47,591 (350)
Using Multidimensional Matrices to Determine Graph Properties
Современные информационные технологии и IT-образование, 2022 The need to determine the most appropriate data model increases, as the complexity of the designed computing systems and computer networks increases. The graph model is one of the main models for this kind of tasks.
Aleksandr Makarov, Victor Munerman
doaj +1 more source
Mathematics, 2022 The article formulates the Dictionary Recognition problem, which is relevant for a wide range of applied problems: word recognition in a noisy audio signal for natural language processing tasks or in a noisy electromagnetic signal, recognition of visual ...
Alexandra Bernadotte
doaj +1 more source
A Multi-Dimensional Matrix Product—A Natural Tool for Parameterized Graph Algorithms
Algorithms, 2022 We introduce the concept of a k-dimensional matrix product D of k matrices A1,…,Ak of sizes n1×n,…,nk×n, respectively, where D[i1,…,ik] is equal to ∑ℓ=1nA1[i1,ℓ]×…×Ak[ik,ℓ].
Mirosław Kowaluk, Andrzej Lingas
doaj +1 more source
Patient Diet Recommendation System Using K Clique and Deep learning Classifiers
JUNE, 2020 There are several systems designed for the purpose of recommending. The recommending system has gained its prominence even in the medical industry for suggesting the diets for the patient’s, medicines to be taken, treatments to be taken etc.
Dr. S. Manoharan, Prof. Sathish
semanticscholar +1 more source
Instruction to the authors of the Journal of Family and Community Medicine
Revista Brasileira de Medicina de Família e Comunidade, 2010 The Journal of Family Medicine and Community RBMFC) is a quarterly publication of the Brazilian Society of Family Medicine and Community, which aims to: raise awareness among professionals and health authorities in the area of interest of Family Medicine
Editor RBMFC
doaj +1 more source
Clique-Based Neural Associative Memories [PDF]
, 2021 Auto-associative memories store a set of patterns and retrieve them by resorting to a part of their contents. This thesis focuses on developing and extending a type of associative memories relying on a sort of coded neural networks called clique-based ...
Abolpour Mofrad, Asieh
core +1 more source
Scientific Reports, 2016 AbstractHigh-diversity species assemblages are very common in nature, and yet the factors allowing for the maintenance of biodiversity remain obscure. The competitive exclusion principle and May’s complexity-diversity puzzle both suggest that a community can support only a small number of species, turning the spotlight on the dynamics of local patches ...
Yael Fried +2 more
openaire +3 more sources
Efficient Maximal Balanced Clique Enumeration in Signed Networks
The Web Conference, 2020 Clique is one of the most fundamental models for cohesive subgraph mining in network analysis. Existing clique model mainly focuses on unsigned networks.
Zi Chen +4 more
semanticscholar +1 more source
Convolutional Neural Networks with Alternately Updated Clique [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Improving information flow in deep networks helps to ease the training difficulties and utilize parameters more efficiently. Here we propose a new convolutional neural network architecture with alternately updated clique (CliqueNet). In contrast to prior
Yibo Yang +3 more
semanticscholar +1 more source
Inverse Clique Domination in Graphs
Recoletos Multidisciplinary Research Journal, 2016 Let G be a connected simple graph. A nonempty subset S of the vertex set V (G) is a clique in G if the graph induced by S is complete. A clique S in G is a clique dominating set if it is a dominating set.
Carmelita Loquias +2 more
doaj +1 more source