Results 71 to 80 of about 1,321,155 (184)
IEEE Access, 2019 For most deep learning practitioners, recurrent networks are often used for sequence modeling. However, recent researches indicate that convolutional architectures may be used to optimize recurrent networks on some machine translation tasks.
Zhelin Huang +4 more
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A New Lower Bound for the Distinct Distance Constant
, 2015 The reciprocal sum of Zhang sequence is not equal to the Distinct Distance Constant. This note introduces a $B_2$-sequence with larger reciprocal sum, and provides a more precise estimation of the reciprocal sums of Mian-Chowla sequence and Zhang ...
Salvia, Raffaele
core
Estimation of the Distribution of Random Parameters in Discrete Time Abstract Parabolic Systems with Unbounded Input and Output: Approximation and Convergence [PDF]
, 2019 A finite dimensional abstract approximation and convergence theory is developed for estimation of the distribution of random parameters in infinite dimensional discrete time linear systems with dynamics described by regularly dissipative operators and ...
Luczak, Susan E. +2 more
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Chromatic Dispersion Estimation Based on CAZAC Sequence for Optical Fiber Communication Systems
IEEE Access, 2019 We propose a chromatic dispersion (CD) estimation method based on constant amplitude zero-autocorrelation (CAZAC) sequence and fractional Fourier transform (FrFT) algorithm for optical fiber communication systems, which extends the application of CAZAC ...
Feilong Wu +3 more
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EbayesThresh: R Programs for Empirical Bayes Thresholding [PDF]
Suppose that a sequence of unknown parameters is observed sub ject to independent Gaussian noise. The EbayesThresh package in the S language implements a class of Empirical Bayes thresholding methods that can take advantage of possible sparsity in the ...
Bernard W. Silverman, Iain Johnstone
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EbayesThresh: R Programs for Empirical Bayes Thresholding
Journal of Statistical Software, 2005 Suppose that a sequence of unknown parameters is observed sub ject to independent Gaussian noise. The EbayesThresh package in the S language implements a class of Empirical Bayes thresholding methods that can take advantage of possible sparsity in the ...
Iain Johnstone, Bernard W. Silverman
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Variance Reduction of Sequential Monte Carlo Approach for GNSS Phase Bias Estimation
Mathematics, 2020 Global navigation satellite systems (GNSS) are an important tool for positioning, navigation, and timing (PNT) services. The fast and high-precision GNSS data processing relies on reliable integer ambiguity fixing, whose performance depends on phase bias
Yumiao Tian, Maorong Ge, Frank Neitzel
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Multiple sequence alignment accuracy and evolutionary distance estimation
BMC Bioinformatics, 2005 Background Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and ...
Rosenberg Michael S
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, 2005 A blind adaptive scheme is proposed for joint maximum likelihood (ML) channel estimation and data detection of single-input multiple-output (SIMO) systems.
Chen, S., Hanzo, L., Yang, X.C.
core
mSystemsk-mer frequency information in biological sequences is used for a wide range of applications, including taxonomy classification, sequence similarity estimation, and supervised learning. However, in spite of its widespread utility, k-mer counting has been
Nicholas A. Bokulich
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