network science, a sparse network has much fewer links than the possible maximum number of links within that network (the opposite is a dense network)...

In numerical analysis and scientific computing, a sparse matrix or sparse array is a matrix in which most of the elements are zero. There is no strict...

theory Sparse matrix, in numerical analysis, a matrix populated primarily with zeros Sparse file, a computer file mostly empty Sparse network, a network with...

(August 2006). Protocol Independent Multicast - Sparse Mode (PIM-SM): Protocol Specification (Revised). Network Working Group. doi:10.17487/RFC4601. RFC 4601...

due to the availability of more effective transformer networks. Representation learning Sparse dictionary learning Deep learning Kramer, Mark A. (1991)...

extensive rail networks, but some railways elsewhere in Africa and South America are isolated lines. Australia has a generally sparse network befitting its...

Sparse approximation (also known as sparse representation) theory deals with sparse solutions for systems of linear equations. Techniques for finding...

cell activity to maintain sparse, decorrelated odor coding and thus the odor-specificity of memories. Artificial neural network Autoencoder Biological neuron...

neural nets and computational neuroscience. Sparse activation: For example, in a randomly initialized network, only about 50% of hidden units are activated...

weights, transcending the conventional constraints of sparser network configurations. Unlike sparse networks where the absence of links typically indicate lack...

network to use all of its inputs a little rather than some of its inputs a lot. L1 regularization is also common. It makes the weight vectors sparse during...

random geometric graph. Early work included simulating ad hoc mobile networks on sparse and densely connected topologies. Nodes are firstly scattered in a...

Bayesian network can save considerable amounts of memory over exhaustive probability tables, if the dependencies in the joint distribution are sparse. For...

ٱلْجَوْل, romanized: al-Jawl, averaging 1,370 m (4,490 ft)), with a very sparse network of deeply sunk wadis (seasonal watercourses). The undefined northern...

with fewer units than a similarly performing shallow network. For instance, it was proved that sparse multivariate polynomials are exponentially easier to...

Médard, Muriel (June 2014). "Tunable sparse network coding for multicast networks". 2014 International Symposium on Network Coding (NetCod). pp. 1–6. doi:10...

V2R communication is beneficial because V2R provides better service sparse networks and long-distance communication, whereas V2V enables direct communication...

Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and...

Echo state networks (ESN) have a sparsely connected random hidden layer. The weights of output neurons are the only part of the network that can change...

sparse networks", Journal of the ACM, 24 (1): 1–13, doi:10.1145/321992.321993, S2CID 207678246. Suurballe, J. W. (1974), "Disjoint paths in a network"...

Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research...

Network". Advances in Neural Information Processing Systems 23 (NIPS 2010). Vol. 23. pp. 1–9. Ranzato, Marc Aurelio; Boureau, Y-Lan (2007). "Sparse Feature...

finding, this implies that the network divides naturally into groups of nodes with dense connections internally and sparser connections between groups. But...

The convolutional sparse coding paradigm is an extension of the global sparse coding model, in which a redundant dictionary is modeled as a concatenation...

neural networks has a long history dating back to early research in distributed representations and self-organizing maps. For example, in sparse distributed...

clock domain. NoC architectures typically model sparse small-world networks (SWNs) and scale-free networks (SFNs) to limit the number, length, area and power...

similar access for the public to the north of the border. In addition, a sparse network of public bridleways and footpaths stretches around the area, often...

features including: server-side clone and copy, application I/O advise, sparse files, space reservation, application data block (ADB), labeled NFS with...

Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims at finding a sparse representation of the...

political strategies. Organizations such as Al-Qaeda may exist as a sparse network of groups lacking central coordination, making them more difficult to...