Results 31 to 40 of about 249,318 (234)

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

New statistical inference for the Weibull distribution [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2015
Weibull distribution has become a popular tool for modeling life data and improving growth in the field of reliability. The successful application of Weibull distribution to real data depends on the statistical power of hypotheses tests to a large extent.
Zhao, X.   +4 more
doaj   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 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

QInfer: Statistical inference software for quantum applications [PDF]

open access: yesQuantum, 2017
Characterizing quantum systems through experimental data is critical to applications as diverse as metrology and quantum computing. Analyzing this experimental data in a robust and reproducible manner is made challenging, however, by the lack of readily ...
Christopher Granade   +7 more
doaj   +1 more source

Screening for lung cancer: A systematic review of overdiagnosis and its implications

open access: yesMolecular Oncology, EarlyView.
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz   +12 more
wiley   +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  

Conservative Statistical Inference

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1977
Summary It is argued that statistical problems can usefully be divided into two classes: one-person problems for which Bayesian techniques are appropriate, and many-person problems, for which Bayesian techniques are not appropriate. Two conditions are presented which it is felt that statistical procedures for many-person problems should ...
openaire   +2 more sources

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

open access: yesMolecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He   +8 more
wiley   +1 more source

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