Results 221 to 230 of about 38,654 (260)
Selphi, a tool for improving genotype imputation accuracy. [PDF]
Sci RepDe Marino A +10 more
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Extended forward–backward algorithm
Journal of Mathematical Analysis and Applications, 2013 We propose an extended forward-backward algorithm for approximating a zero of a maximal monotone operator which can be split as the extended sum of two maximal monotone operators. We establish the weak convergence in average of the sequence generated by the algorithm under assumptions similar to those used in classical forward-backward algorithms. This
Marc Lassonde
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Convergence of Inexact Forward--Backward Algorithms Using the Forward--Backward Envelope
SIAM Journal on Optimization, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. Bonettini, M. Prato, S. Rebegoldi
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On the memory complexity of the forward–backward algorithm
Pattern Recognition Letters, 2010The Forward-backward (FB) algorithm forms the basis for estimation of Hidden Markov Model (HMM) parameters using the Baum-Welch technique. It is however, known to be prohibitively costly when estimation is performed from long observation sequences.
Éric Granger +2 more
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Variable Metric Forward-Backward Algorithm for Composite Minimization Problems [PDF]
SIAM Journal on Optimization, 2021 We present a forward-backward-based algorithm to minimize a sum of a differentiable function and a nonsmooth function, both being possibly nonconvex. The main contribution of this work is to consider the challenging case where the nonsmooth function corresponds to a sum of non-convex functions, resulting from composition between a strictly increasing ...
Audrey Repetti
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Baum's forward-backward algorithm revisited
Pattern Recognition Letters, 1985Summary: In this note, we examine the forward-backward algorithm from the computational viewpoint of the underflow problem inherent in \textit{L. E. Baum}'s original formulation [An inequality and associated maximization technique in statistical estimation for probabilistic functions of Markov processes. Inequalities III, Proc.
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A Dynamical Approach to an Inertial Forward-Backward Algorithm for Convex Minimization
SIAM Journal on Optimization, 2014 We introduce a new class of forward-backward algorithms for structured convex minimization problems in Hilbert spaces. Our approach relies on the time discretization of a second-order differential system with two potentials and Hessian-driven damping, recently introduced in [H. Attouch, P.-E. Maingé, and P. Redont, Differ. Equ. Appl., 4 (2012), pp. 27--
Juan Peypouquet, Hedy ATTOUCH
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The forward-backward search algorithm
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991The authors introduce a technique that greatly speeds up expensive time-synchronous beam searches in speech recognition. The algorithm is called the forward-backward search and is mathematically related to the Baum-Welch forward-backward training algorithm. It uses a simplified forward pass followed by a detailed backward search. The information stored
Steve Austin +2 more
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Convergence Rates of Inertial Forward-Backward Algorithms
SIAM Journal on Optimization, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Attouch, Hedy, Cabot, Alexandre
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Almost sure convergence of the forward–backward–forward splitting algorithm [PDF]
Optimization Letters, 2015 In this paper, we propose a stochastic forward-backward-forward splitting algorithm and prove its almost sure weak convergence in real separable Hilbert spaces. Applications to composite monotone inclusion and minimization problems are demonstrated.
Băng Công Vũ
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