Results 261 to 270 of about 574,210 (309)

A Tree Representation of Combinational Networks

IEEE Transactions on Computers, 1983
Summary: A tree representation of a combinational network is developed. An algorithm is proposed for finding the functional expression realized by the network. The tree representation has storage requirement linear with respect to the number of input-output paths in the network. It is shown that finding the complementary function and generating network
Kuang-Wei Chiang, Zvonko G. Vranesic
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Modular representation of autoencoder networks

2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017
An autoencoder (AE) is a nonlinear extension of principal component analysis (PCA). It can extract abstract information about input data with low dimensions by combining multiple dimensions of input data through a layered neural network. A trained AE network can be used in various applications like parameter initialization for another inference ...
Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino   +2 more
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Representations of Networks

2020
Networks play a pivotal role in representing relational data. Network analysis is gaining importance because of its relevance to several real-life applications. We deal with an introduction to social and information networks and their representations in this chapter. We introduce network embeddings followed by Matrix Factorization approaches.
Manasvi Aggarwal, M. N. Murty
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On the path representation of networks

BIT, 1982
A compact data structure for networks is obtained by storing arcs of paths sequentially. This structure allows forward and backward access from a node to its neighbors.
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A graphical representation for network management

[1989] Proceedings. 14th Conference on Local Computer Networks, 2003
A serious problem in network management is the manner in which data is presented, as it is difficult to visualize a network by examining tabular data output. It is shown by examples that by presenting computer network data in graphical form instead of numerical, the network manager will be able to discover problems in the network much faster and more ...
Bruce C. Anderson, Robert N. Linebarger
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Network representation for piezoelectric bimorphs

[Proceedings] 1990 IEEE 7th International Symposium on Applications of Ferroelectrics, 1991
The networks associated with the bimorph matrix are presented. The bimorph matrix is diagonalized and eigenvalues and eigenstates are found for the extremes of nonpiezoelectric and strong piezoelectric coupling. A physical interpretation of the eigenvalues and eigenstates is proposed. The bimorph matrix is also diagonalized through elementary operation
A, Ballato, J G, Smits
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A characterization of network representable polymatroids

ZOR Zeitschrift f� Operations Research Methods and Models of Operations Research, 1991
Summary: \textit{N. Meggido} [Math. Program. 7, 97-107 (1974; Zbl 0296.90048)] showed that the maximum flow through sets of sources in a multiple sink flow network is a polymatroidal function. Recently, \textit{A. Federgruen} and \textit{H. Groenevelt} [``Polymatroidal network flow models with multiple sinks: Transformation to standard network models'',
Wolfgang W. Bein, Peter Brucker, Matthias F. M. Stallmann   +2 more
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Learning IP network representations

ACM SIGCOMM Computer Communication Review, 2019
We present DIP, a deep learning based framework to learn structural properties of the Internet, such as node clustering or distance between nodes. Existing embedding-based approaches use linear algorithms on a single source of data, such as latency or hop count information, to approximate the position of a node in the Internet.
Mingda Li, Bo Zong, Cristian Lumezanu, Haifeng Chen   +3 more
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Research on Text Network Representation

2008 IEEE International Conference on Networking, Sensing and Control, 2008
Text representation is the basis of text processing. Most current text representation model didn't consider of the words' relations and result in the loss of text's structure information, which is important to understand the text. This paper proposed a novel text representation model, which uses lexical network to represent the text and retains the ...
Jianyi Liu, Jinghua Wang, Cong Wang 0003
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Network representation of cellular automata

2011 IEEE Symposium on Artificial Life (ALIFE), 2011
Cellular automata have been used for modeling numerous complex processes and network theory provides powerful techniques for studying the structural properties of complex systems. In this article, we present a network representation of one-dimensional binary cellular automata and investigate their dynamical properties using the structural parameters of
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