Results 111 to 120 of about 11,193 (260)

Noise-Adaptive State Estimators with Change-Point Detection

Sensors
Aiming at tracking sharply maneuvering targets, this paper develops novel variational adaptive state estimators for joint target state and process noise parameter estimation for a class of linear state-space models with abruptly changing parameters.
Xiaolei Hou, Shijie Zhao, Jinjie Hu, Hua Lan   +3 more
doaj   +1 more source

Inference Suboptimality in Variational Autoencoders

CoRR, 2018
Amortized inference allows latent-variable models trained via variational learning to scale to large datasets. The quality of approximate inference is determined by two factors: a) the capacity of the variational distribution to match the true posterior and b) the ability of the recognition network to produce good variational parameters for each ...
Chris Cremer, Xuechen Li 0005, David Duvenaud   +2 more
openaire   +3 more sources

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source

CoVar: A generalizable machine learning approach to identify the coordinated regulators driving variational gene expression.

PLoS Computational Biology
Network inference is used to model transcriptional, signaling, and metabolic interactions among genes, proteins, and metabolites that identify biological pathways influencing disease pathogenesis.
Satyaki Roy, Shehzad Z Sheikh, Terrence S Furey   +2 more
doaj   +1 more source

The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp, Ludwig Karrasch, Helena Breitenstein, Andreas Straube, Katharina Kamm   +4 more
wiley   +1 more source

Bayesian compositional regression with microbiome features via variational inference [PDF]

BMC Bioinformatics, 2023
SCOTT DAV, BENAVENTE ED, LIBISELLER-EGGER J, FEDOROV D, PHELAN J, ILINA E, TIKHONOVA P, KUDRYAVTSEV A, GALEEVA J, CLARK T, LEWIN A.   +10 more
europepmc   +2 more sources

System Identification of Nonlinear State-Space Models with Linearly Dependent Unknown Parameters Based on Variational Bayes

SICE Journal of Control, Measurement, and System Integration, 2018
In this paper, we propose a parameter estimation method for nonlinear state-space models based on the variational Bayes. It is proved that the variational posterior distribution of the hidden states is equivalent to a posterior distribution of the states
Kenji Fujimoto, Akihiro Taniguchi, Yoshiharu Nishida   +2 more
doaj   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

V‐UNet: Medical Image Segmentation Based on Variational Attention Mechanism

CAAI Transactions on Intelligence Technology
Accurate medical image segmentation plays a crucial role in improving the precision of computer‐aided diagnosis. However, complex boundary shapes, low contrast and blurred anatomical structures make fine‐grained segmentation a challenging task ...
Yang Zhang, Qiang Yang, Tian Li, Fanghong Zhang, Yu Ren, Yinhao Li, Chuanyun Xu   +6 more
doaj   +1 more source

Variational Inference for Adaptor Grammars

, 2010
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with “rich get richer” dynamics. Inference for adaptor grammars seeks to find parse trees for raw text. This paper describes a variational inference algorithm for adaptor grammars, providing an alternative to Markov chain Monte Carlo methods.
Cohen, S. B., Blei, D. M., Smith, N. A.
openaire   +3 more sources