نتایج جستجو برای: label energy of graph
تعداد نتایج: 21252948 فیلتر نتایج به سال:
We tackle the problem of inferring node labels in a partially labeled graph where each node in the graph has multiple label types and each label type has a large number of possible labels. Our primary example, and the focus of this paper, is the joint inference of label types such as hometown, current city, and employers, for users connected by a social network. Standard label propagation fails...
We consider the problem of inferring node labels in a partially labeled graph where each node in the graph has multiple label types and each label type has a large number of possible labels. Our primary example, and the focus of this paper, is the joint inference of label types such as hometown, current city, and employers for people connected by a social network; by predicting these user profi...
In many real applications of text mining, information retrieval and natural language processing, large-scale features are frequently used, which often make the employed machine learning algorithms intractable, leading to the well-known problem “curse of dimensionality”. Aiming at not only removing the redundant information from the original features but also improving their discriminating abili...
Abstract Adjacency matrix A(G)=[aij] yields the graph energy, which is equal to addition of absolute values eigenvalues G. This research investigates energy class in terms another after removing a vertex. After deleting vertex, relationship between complete E[ k n ] and splitting E(S’ [ ]) discovered.
Interleaving is used for error-correcting on a bursty noisy channel. Given a graph describing the topology of the channel, we label the vertices of so that each label-set is sufficiently sparse. Interleaving scheme corrects for any error burst of size at most ; it is a labeling where the distance between any two vertices in the same label-set is at least . We consider interleaving schemes on in...
Introduction: Applying of a new indicator in food packaging can be effective to inform consumers about the freshness and quality of the products. Materials and Methods: In the current study, a new milk freshness label was investigated containing beetroot color and multi layers of polystyrene. The label characteristics were investigated by estimating color number, release test, and scanning ele...
Abstract It is important to achieve an efficient home energy management system (HEMS) because of its role in promoting saving and emission reduction for end-users. Two critical issues HEMS are identification user behavior strategy. However, current methods usually assume perfect knowledge or ignore the strong correlations usage habits with different applications. This can lead insufficient desc...
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