Results 31 to 40 of about 2,939,429 (324)
Computation and Hypercomputation
Mathematics, 2022 This paper shows some of the differences and similarities between computation and hypercomputation, the similarities relating to the complexity of propositional computation and the differences being the propositions that can be decided computationally or
Andrew Powell
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i2MapReduce: Incremental MapReduce for Mining Evolving Big Data [PDF]
, 2015 As new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. Incremental processing is a promising approach to refreshing mining results.
Chen, Shimin +3 more
core +1 more source
On the dimensionality of odor space
eLife, 2015 There is great interest in understanding human olfactory experience from a principled and quantitative standpoint. The comparison is often made to color vision, where a solid framework with a three-dimensional perceptual space enabled a rigorous search ...
Markus Meister
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Urban-Tissue Optimization through Evolutionary Computation
Mathematics, 2018 The experiments analyzed in this paper focus their research on the use of Evolutionary Computation (EC) applied to a parametrized urban tissue. Through the application of EC, it is possible to develop a design under a single model that addresses multiple
Diego Navarro-Mateu +2 more
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KLM quantum computation as a measurement based computation
, 2006 We show that the Knill Laflamme Milburn method of quantum computation with linear optics gates can be interpreted as a one-way, measurement based quantum computation of the type introduced by Briegel and Rausendorf.
Popescu, Sandu
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Unconditionally verifiable blind computation [PDF]
, 2014 Blind Quantum Computing (BQC) allows a client to have a server carry out a quantum computation for them such that the client's input, output and computation remain private. A desirable property for any BQC protocol is verification, whereby the client can
A. Ambainis +15 more
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Computing the non-computable [PDF]
Contemporary Physics, 2003 Extensively revised and enlarged with: 2 new subsections, 4 new figures, 1 new reference, and a short biography as requested by the journal ...
openaire +4 more sources
Compute-in-Memory for Numerical Computations
Micromachines, 2022 In recent years, compute-in-memory (CIM) has been extensively studied to improve the energy efficiency of computing by reducing data movement. At present, CIM is frequently used in data-intensive computing. Data-intensive computing applications, such as all kinds of neural networks (NNs) in machine learning (ML), are regarded as ‘soft’ computing tasks.
Dongyan Zhao +11 more
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Computation-Aware Data Aggregation [PDF]
, 2019 Data aggregation is a fundamental primitive in distributed computing wherein a network computes a function of every nodes\u27 input. However, while compute time is non-negligible in modern systems, standard models of distributed computing do not take ...
Haeupler, Bernhard +3 more
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source