Results 11 to 20 of about 136,474,496 (243)
Maximum a posteriori pitch tracking
5th International Conference on Spoken Language Processing (ICSLP 1998), 1998 A Maximum a posteriori framework for computing pitch tracks as well as voicing decisions is presented. The proposed algorithm consists of creating a time-pitch energy distribution based on predictable energy that improves on the normalized cross ...
Alex Acero
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IEEE Access, 2020 Over the past few years, dynamic spectrum access has been gaining an increasing attention as a solution to the spectrum scarcity problem. In this paper, a primary user detection technique based on Maximum A Posteriori estimation is proposed for dynamic ...
Ahmed Tohamy +4 more
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A residual based A POSTERIORI error estimator for an augmented mixed finite element method in linear elasticity [PDF]
, 2005 In this paper we develop a residual based a posteriori error analysis for an augmented mixed finite element method applied to the problem of linear elasticity in the plane. More precisely, we derive a reliable and efficient a posteriori error estimator
Heuer, N +18 more
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Maximum norm a posteriori error estimate for a 2d singularly perturbed semilinear reaction-diffusion problem [PDF]
, 2008 A singularly perturbed semilinear reaction-diffusion equation, posed in the unit square, is discretized on arbitrary nonuniform tensor-product meshes. We establish a second-order maximum norm a posteriori error estimate that holds true uniformly in the ...
Kopteva, Natalia
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Maximum norm a posteriori error estimation for parabolic problems using elliptic reconstructions [PDF]
, 2013 A semilinear second-order parabolic equation is considered in a regular and a singularly perturbed regime. For this equation, we give computable a posteriori error estimates in the maximum norm.
Linss, Torsten, Kopteva, Natalia
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Word Embedding as Maximum A Posteriori Estimation [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 The GloVe word embedding model relies on solving a global optimization problem, which can be reformulated as a maximum likelihood estimation problem. In this paper, we propose to generalize this approach to word embedding by considering parametrized variants of the GloVe model and incorporating priors on these parameters.
Jameel, Shoaib +4 more
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, 2022 AbstractWe will now introduce a fundamental approximation used in most practical data-assimilation methods, namely the definition of Gaussian priors. This approximation simplifies the Bayesian posterior, which allows us to compute the maximum a posteriori (MAP) estimate and sample from the posterior pdf.
Geir Evensen +2 more
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Maximum a Posteriori Policy Optimisation
CoRR, 2018 We introduce a new algorithm for reinforcement learning called Maximum aposteriori Policy Optimisation (MPO) based on coordinate ascent on a relative entropy objective. We show that several existing methods can directly be related to our derivation. We develop two off-policy algorithms and demonstrate that they are competitive with the state-of-the-art
Abbas Abdolmaleki +5 more
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Relaxed maximum a posteriori fault identification [PDF]
Signal Processing, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Argyris Zymnis +2 more
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Maximum A Posteriori (MAP) estimates.
, 2021 Maximum A Posteriori (MAP) estimates.
Jianchen Yang (11127608) +6 more
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