Results 41 to 50 of about 327,556 (313)

HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model

open access: yesFrontiers in Robotics and AI, 2019
Humans perceive continuous high-dimensional information by dividing it into meaningful segments, such as words and units of motion. We believe that such unsupervised segmentation is also important for robots to learn topics such as language and motion ...
Masatoshi Nagano   +6 more
doaj   +1 more source

Statistical inference of assortative community structures

open access: yesPhysical Review Research, 2020
We develop a principled methodology to infer assortative communities in networks based on a nonparametric Bayesian formulation of the planted partition model. We show that this approach succeeds in finding statistically significant assortative modules in
Lizhi Zhang, Tiago P. Peixoto
doaj   +1 more source

Statistical Inference for some Robust Regression Estimators [PDF]

open access: yesMaǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ, 2016
The method of least squares of the most commonly used methods for estimating the parameters of linear regression models,this method requires the availability of several assumptions for the capabilities more efficiently.
مشيرة عادل سليمان الأعصر
doaj   +1 more source

Active Statistical Inference

open access: yesCoRR
Inspired by the concept of active learning, we propose active inference$\unicode{x2013}$a methodology for statistical inference with machine-learning-assisted data collection. Assuming a budget on the number of labels that can be collected, the methodology uses a machine learning model to identify which data points would be most beneficial to label ...
Tijana Zrnic, Emmanuel J. Candès
openaire   +3 more sources

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes

open access: yesFrontiers in Neurorobotics, 2017
Humans divide perceived continuous information into segments to facilitate recognition. For example, humans can segment speech waves into recognizable morphemes. Analogously, continuous motions are segmented into recognizable unit actions.
Tomoaki Nakamura   +5 more
doaj   +1 more source

Statistical Inference for Generalized log Burr Distribution [PDF]

open access: yesThe Egyptian Statistical Journal, 1999
In this article, statistical inference for the generalized log Burr type-XII distribution is considered. Reparametrizing the generalized log Burr type XII distribution gives a location-scale model.
M Abdelhafez
doaj   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Causal network inference using biochemical kinetics [PDF]

open access: yes, 2014
Motivation: Networks are widely used as structural summaries of biochemical systems. Statistical estimation of networks is usually based on linear or discrete models.
Bayani, Nora   +11 more
core   +1 more source

A Comparison of the Effects of Vitamin E and Vitamin B1 on the Severity and Duration of Pain in Primary Dysmenorrhea [PDF]

open access: yesJournal of Midwifery & Reproductive Health, 2014
Background and aim: Primary dysmenorrhea is defined as painful menstruation in the absence of any confirmed pelvic disease. Its incidence has been estimated between 50-90% in different communities.
Sara Nayeban   +3 more
doaj  

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