Results 21 to 30 of about 36,386 (165)
Frontiers in Public Health, 2022 Valuations of preference-based measures for health are conducted in different countries. There is scope to use results from existing countries' valuations to generate better valuation estimates than analyzing the data from each country separately.
Samer A. Kharroubi +2 more
doaj +1 more source
Efficient learning-based blur removal method based on sparse optimization for image restoration.
PLoS ONE, 2020 In imaging systems, image blurs are a major source of degradation. This paper proposes a parameter estimation technique for linear motion blur, defocus blur, and atmospheric turbulence blur, and a nonlinear deconvolution algorithm based on sparse ...
Haoyuan Yang +4 more
doaj +1 more source
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Algorithms, 2022 In many real-life problems, it is difficult to acquire or label large amounts of data, resulting in so-called few-shot learning problems. However, few-shot classification is a challenging problem due to the uncertainty caused by using few labeled samples.
Yuqing Hu +2 more
doaj +1 more source
Fast and Accurate Learning When Making Discrete Numerical Estimates. [PDF]
PLoS Computational Biology, 2016 Many everyday estimation tasks have an inherently discrete nature, whether the task is counting objects (e.g., a number of paint buckets) or estimating discretized continuous variables (e.g., the number of paint buckets needed to paint a room).
Adam N Sanborn, Ulrik R Beierholm
doaj +1 more source
Improved Material Decomposition With a Two-Step Regularization for Spectral CT
IEEE Access, 2019 One of the advantages of spectral computed tomography (CT) is it can achieve accurate material components using the material decomposition methods. The image-based material decomposition is a common method to obtain specific material components, and it ...
Weiwen Wu +4 more
doaj +1 more source
Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer
IEEE Access, 2021 In online intelligent education systems, to offer proactive studying services to students (e.g., learning path recommendation), a crucial demand is to track students’ knowledge mastery levels over time. However, existing works ignore the impact of
Hengyu Liu +4 more
doaj +1 more source
Estimating Tree Height-Diameter Models with the Bayesian Method
The Scientific World Journal, 2014 Six candidate height-diameter models were used to analyze the height-diameter relationships. The common methods for estimating the height-diameter models have taken the classical (frequentist) approach based on the frequency interpretation of probability,
Xiongqing Zhang +3 more
doaj +1 more source
Peer prediction without a common prior [PDF]
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012 Reputation mechanisms at online opinion forums, such as Amazon Reviews, elicit ratings from users about their experience with different products. Crowdsourcing applications, such as image tagging on Amazon Mechanical Turk, elicit votes from users as to whether or not a job was duly completed.
Jens Witkowski, David C. Parkes
openaire +1 more source
A Common Dynamic Prior for Time in Duration Discrimination [PDF]
Psychonomic Bulletin & Review, 2020 Estimation of time depends heavily on both global and local statistical context. For instance, durations that are short relative to the global distribution are systematically overestimated; durations that are locally preceded by long durations are also overestimated.
Joost de Jong +2 more
openaire +4 more sources
BMC Medical Research Methodology, 2013 Background Multiple treatment comparison (MTC) meta-analyses are commonly modeled in a Bayesian framework, and weakly informative priors are typically preferred to mirror familiar data driven frequentist approaches.
Thorlund Kristian +2 more
doaj +1 more source