Search Results - "Forward–backward algorithm"

An accelerated forward-backward algorithm with a new linesearch for convex minimization problems and its applications by Hanjing, Adisak, Jailoka, Pachara, Suantai, Suthep

“…We study and investigate a convex minimization problem of the sum of two convex functions in the setting of a Hilbert space. By assuming the Lipschitz…”
Get full text

Hidden mover‐stayer model for disease progression accounting for misclassified and partially observed diagnostic tests: Application to the natural history of human papillomavirus and cervical precancer by Aron, Jordan, Albert, Paul S., Wentzensen, Nicolas, Cheung, Li C.

“…‐stayer mixture model that assumes a proportion of the population will stay in the healthy state and are not subject to disease progression…”
Get full text

A generalized viscosity forward-backward splitting scheme with inertial terms for solving monotone inclusion problems and its applications by Ungchittrakool, Kasamsuk, Artsawang, Natthaphon

“…Our aim was to establish a novel generalized viscosity forward-backward splitting scheme that incorporates inertial terms for addressing monotone inclusion…”
Get full text

A recent proximal gradient algorithm for convex minimization problem using double inertial extrapolations by Kesornprom, Suparat, Inkrong, Papatsara, Witthayarat, Uamporn, Cholamjiak, Prasit

“…In this study, we suggest a new class of forward-backward (FB) algorithms designed to solve convex minimization problems. Our method incorporates a linesearch…”
Get full text

Explicit-duration Hidden Markov Models for quantum state estimation by Luati, Alessandra, Novelli, Marco

“… The motivation comes from the physical problem of extracting the maximum information from an open quantum system subject to an external perturbation, which induces a change in the dynamics of the system…”
Get full text

A coupled hidden Markov model for disease interactions by Sherlock, Chris, Xifara, Tatiana, Telfer, Sandra, Begon, Mike

“… Although trapping sessions were regular, a different set of voles was caught at each session, leading to incomplete profiles for all subjects…”
Get full text

A sequence-based extension of mean-field annealing using the forward/backward algorithm: application to image segmentation by Miller, D.J., Qi Zhao

“…) assignments subject to an average level of cost. MFA is obtained by assuming the assignments at each pixel are statistically independent, given the observed image…”
Get full text

Generalized forward–backward splitting with penalization for monotone inclusion problems by Nimana, Nimit, Petrot, Narin

“…We introduce a generalized forward–backward splitting method with penalty term for solving monotone inclusion problems involving the sum of a finite number of…”
Get full text

On Bayesian analysis and unit root testing for autoregressive models in the presence of multiple structural breaks by Meligkotsidou, Loukia, Tzavalis, Elias, Vrontos, Ioannis

“… breaks is performed by using filtering recursions similar to those of the forward–backward algorithm. A Bayesian approach to unit root testing is also proposed, based…”
Get full text

Sequence Detection Algorithms for PHY-Layer Sensing in Dynamic Spectrum Access Networks by Zhanwei Sun, Bradford, G J, Laneman, J N

“… Spectrum sensing is subject to errors in the form of false alarms and missed detections. False alarms cause spectrum under-use by secondary users, and missed detections cause interference to primary users…”
Get full text

A sequence-based generalization of mean-field annealing using the Forward/Backward algorithm: Application to image segmentation by Miller, David J., Bunyaratavej, Piya, Zhao, Qi

“…) assignments subject to an average level of cost. MFA is obtained by assuming the individual assignments are independent…”
Get full text

A predictive Hidden semi-Markov Model for bridges subject to chloride-induced deterioration by Guo, Chunhui, Liang, Zhenglin, Zeng, Junqi, Song, Minyuan, Xue, Zongqi

“… We derive the corresponding forward-backward algorithm of the Hidden semi-Markov Model to predict the future deterioration state based on the past observation…”
Get full text

A constrained forward-backward algorithm for image recovery problems by Pustelnik, Nelly, Chaux, Caroline, Pesquet, Jean-Christophe

“… In this paper, we propose a modification of the standard forward-backward algorithm, which allows us to minimize f…”
Get full text

The first Brain-Computer Interface utilizing a Turkish language model by Ulas, C., Cetin, M.

“…) set ups involves having subjects type letters based on so-called P300 signals generated by their brains in response to unpredictable stimuli…”
Get full text

Apollo: a sequencing-technology-independent, scalable and accurate assembly polishing algorithm by Firtina, Can, Kim, Jeremie S, Alser, Mohammed, Senol Cali, Damla, Cicek, A Ercument, Alkan, Can, Mutlu, Onur

“… These long reads are used to construct an assembly (i.e. the subject’s genome), which is further used in downstream genome analysis…”
Get full text

Image restoration by advanced parallel inertial forward–backward splitting methods by Yambangwai, Damrongsak, Khan, Suhel Ahmad, Dutta, Hemen, Cholamjiak, Watcharaporn

“… Strong convergence results have been obtained in real Hilbert spaces subject to certain suitable conditions…”
Get full text

Computational methods for hidden Markov tree models-an application to wavelet trees by Durand, J.-B., Goncalves, P., Guedon, Y.

“…". This algorithm is subject to the same numerical limitations as the forward-backward algorithm for hidden Markov chains (HMCs…”
Get full text

Mixed location scale hidden Markov model for the analysis of intensive longitudinal data by Lin, Xiaolei, Mermelstein, Robin, Hedeker, Donald

“… These models have been extended to longitudinal data setting where simultaneous multiple processes are observed by including subject specific random effects…”
Get full text

Apollo: A Sequencing-Technology-Independent, Scalable, and Accurate Assembly Polishing Algorithm by Firtina, Can, Kim, Jeremie S, Alser, Mohammed, Cali, Damla Senol, Cicek, A Ercument, Alkan, Can, Mutlu, Onur

“…, the subject's genome), which is further used in downstream genome analysis. Unfortunately, long reads have high sequencing error rates and a large proportion of bps in these long reads are incorrectly identified…”
Get full text

An Inertial Proximal-Gradient Penalization Scheme for Constrained Convex Optimization Problems by Boţ, Radu Ioan, Csetnek, Ernö Robert, Nimana, Nimit

“… function subject to the set of minimizers of another convex differentiable function. We show that, under suitable choices for the step sizes and the penalization…”
Get full text