Results 11 to 20 of about 2,104,160 (282)
Maximum likelihood associative memories [PDF]
2013 IEEE Information Theory Workshop (ITW), 2013 Associative memories are structures that store data in such a way that it can later be retrieved given only a part of its content -- a sort-of error/erasure-resilience property. They are used in applications ranging from caches and memory management in CPUs to database engines.
Vincent Gripon, Michael Rabbat
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Maximum Lq-likelihood estimation [PDF]
The Annals of Statistics, 2010 In this paper, the maximum L$q$-likelihood estimator (ML$q$E), a new parameter estimator based on nonextensive entropy [Kibernetika 3 (1967) 30--35] is introduced. The properties of the ML$q$E are studied via asymptotic analysis and computer simulations.
Ferrari, Davide, Yang, Yuhong
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Divisive hierarchical maximum likelihood clustering
BMC Bioinformatics, 2017 Background Biological data comprises various topologies or a mixture of forms, which makes its analysis extremely complicated. With this data increasing in a daily basis, the design and development of efficient and accurate statistical methods has become
Alok Sharma +2 more
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Model fit after pairwise maximum likelihood
Frontiers in Psychology, 2016 Maximum likelihood factor analysis of discrete data within the structural equation modeling framework rests on the assumption that the observed discrete responses are manifestations of underlying continuous scores that are normally distributed.
M. T. eBarendse +3 more
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Accurate structural correlations from maximum likelihood superpositions. [PDF]
PLoS Computational Biology, 2008 The cores of globular proteins are densely packed, resulting in complicated networks of structural interactions. These interactions in turn give rise to dynamic structural correlations over a wide range of time scales.
Douglas L Theobald, Deborah S Wuttke
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Maximum Likelihood Localization Method With MIMO-OFDM Transmission
IEEE Access, 2021 In this research, we propose to estimate the location of mobile users by using the maximum likelihood (ML) method with statistical properties of the transmission signal angle of departure (AOD) and received signal strength (RSS) from access points (APs ...
Wan Amirul Mahyiddin +3 more
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Bounding the maximum likelihood degree [PDF]
, 2015 Maximum likelihood estimation is a fundamental computational problem in statistics. In this note, we give a bound for the maximum likelihood degree of algebraic statistical models for discrete data.
Budur, Nero, Wang, Botong
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Maximum Likelihood for Dual Varieties [PDF]
, 2014 Maximum likelihood estimation (MLE) is a fundamental computational problem in statistics. In this paper, MLE for statistical models with discrete data is studied from an algebraic statistics viewpoint.
Rodriguez, Jose Israel
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Quantum circuit cutting with maximum-likelihood tomography
npj Quantum Information, 2021 We introduce maximum-likelihood fragment tomography (MLFT) as an improved circuit cutting technique for running clustered quantum circuits on quantum devices with a limited number of qubits.
Michael A. Perlin +3 more
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Maximum Likelihood Estimation of Seismic Impulse Response [PDF]
Modeling, Identification and Control, 1985 A seismic trace is assumed to consist of a known signal pulse convolved with a reflection coefficient series plus a moving average noise process (colored noise).
B. Ursin, O. Holberg
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