Incomplete-data Fisher scoring method with steplength adjustment
Sign Up to like & getrecommendations! Published in 2020 at "Statistics and Computing"
DOI: 10.1007/s11222-020-09923-z
Abstract: An incomplete-data Fisher scoring method is proposed for parameter estimation in models where data are missing and in latent-variable models that can be formulated as a missing data problem. The convergence properties of the proposed… read more here.
Keywords: fisher scoring; data fisher; scoring method; method ... See more keywords
Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling
Sign Up to like & getrecommendations! Published in 2019 at "Medical Image Analysis"
DOI: 10.1016/j.media.2019.01.004
Abstract: HighlightsWe propose a generalized algorithm to train LSTM networks robust to incomplete data.We introduce an end‐to‐end approach for biomarker modeling and clinical status prediction.It is applied to model Alzheimer’s disease progression using volumetric MRI biomarkers.Our… read more here.
Keywords: alzheimer disease; progression; disease; disease progression ... See more keywords
Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement.
Sign Up to like & getrecommendations! Published in 2021 at "Psychological methods"
DOI: 10.1037/met0000412
Abstract: Van Oest (2019) developed a framework to assess interrater agreement for nominal categories and complete data. We generalize this framework to all four situations of nominal or ordinal categories and complete or incomplete data. The… read more here.
Keywords: agreement; chance corrected; framework; coefficient ... See more keywords
Finite element approach to linear parabolic pointwise control problems of incomplete data
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2020.1799107
Abstract: In this paper we give a priori error estimates for finite element approximations of linear parabolic problems with pointwise control and incomplete data. We discretise the optimal control problem by using piecewise linear and continuous… read more here.
Keywords: finite element; control; linear parabolic; element approach ... See more keywords
Simple methods for comparing two predictive values with incomplete data.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of biopharmaceutical statistics"
DOI: 10.1080/10543406.2023.2188925
Abstract: Statistical methods have been well developed for comparing the predictive values of two binary diagnostic tests under a paired design. However, existing methods do not make allowance for incomplete data. Although maximum likelihood based method… read more here.
Keywords: values incomplete; simple methods; comparing two; incomplete data ... See more keywords
Quasar photometric redshifts from incomplete data using Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stac660
Abstract: Forthcoming astronomical surveys are expected to detect new sources in such large numbers that measuring their spectroscopic redshift measurements will be not be practical. Thus, there is much interest in using machine learning to yield… read more here.
Keywords: photometric redshifts; deep learning; redshifts incomplete; quasar photometric ... See more keywords
Marchenko method with incomplete data and singular nucleon scattering
Sign Up to like & getrecommendations! Published in 2019 at "Progress of Theoretical and Experimental Physics"
DOI: 10.1093/ptep/ptz034
Abstract: We apply the Marchenko method of quantum inverse scattering to study nucleon scattering problems. Assuming a $\beta/r^2$ type repulsive core and comparing our results to the Reid93 phenomenological potential we estimate the constant $\beta$, determining… read more here.
Keywords: marchenko method; incomplete data; nucleon scattering; method incomplete ... See more keywords
Using noisy or incomplete data to discover models of spatiotemporal dynamics.
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.101.010203
Abstract: Sparse regression has recently emerged as an attractive approach for discovering models of spatiotemporally complex dynamics directly from data. In many instances, such models are in the form of nonlinear partial differential equations (PDEs); hence… read more here.
Keywords: discover models; noisy incomplete; models spatiotemporal; using noisy ... See more keywords
Belief Combination of Classifiers for Incomplete Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105458
Abstract: Data with missing values, or incomplete information, brings some challenges to the development of classification, as the incompleteness may significantly affect the performance of classifiers. In this paper, we handle missing values in both training… read more here.
Keywords: bcc; classification; combination classifiers; incomplete data ... See more keywords
Decomposition for Multi-Component Micro-Doppler Signal With Incomplete Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3148594
Abstract: When echoes of micromotion targets are overlapping in the time-frequency (TF) domain and sampling data are missing, the decomposition of the multicomponent micro-Doppler (m-D) signals is challenging. To address this issue, this letter proposes a… read more here.
Keywords: micro doppler; component; decomposition; incomplete data ... See more keywords
Towards Query Pricing on Incomplete Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3026031
Abstract: Data have significant economic or social value in many application fields including science, business, governance, etc. This naturally leads to the emergence of many data markets such as GBDEx and YoueData. As a result, the… read more here.
Keywords: pricing incomplete; incomplete data; tex math; inline formula ... See more keywords