Results 201 to 210 of about 71,521 (260)

Federated Function-on-function Regression with an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine. [PDF]

IEEE Trans Autom Sci Eng
Ding Y, Costa C, Si B.
europepmc   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Bridging binarization: causal inference with dichotomized continuous exposures. [PDF]

J Causal Inference
Lee K, Hubbard A, Schuler A.
europepmc   +1 more source

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition. [PDF]

Am J Epidemiol
Ross RK, Montoya LM, Goin DE, Díaz I, Renson A.   +4 more
europepmc   +1 more source

Inferring on Joint Associations From Marginal Associations and a Reference Sample. [PDF]

Biom J
Frostig T, Heller R.
europepmc   +1 more source

Estimating fMRI timescale maps. [PDF]

Imaging Neurosci (Camb)
Riegner G, Davenport S, Voytek B, Schwartzman A.   +3 more
europepmc   +1 more source

Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data. [PDF]

Sci Rep
Kumar PR, Ibidoja OJ, Ali MKM, Ishak WRW.   +3 more
europepmc   +1 more source

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Boosting Regression Estimators

Neural Computation, 1999
There is interest in extending the boosting algorithm (Schapire, 1990) to fit a wide range of regression problems. The threshold-based boosting algorithm for regression used an analogy between classification errors and big errors in regression. We focus on the practical aspects of this algorithm and compare it to other attempts to extend boosting to ...
Ran Avnimelech, Nathan Intrator
openaire   +2 more sources

Regression Estimation in Simulation

Journal of the Operational Research Society, 1980
In simulation an input variable like interarrival time is sampled, and hence its average deviates from its known expectation. This information can be used to improve the estimated simulation response: regression sampling or control variate technique. The usual crude estimator is shown to be biased.
Hopmans, Anton C. M., Kleijnen, Jack P. C.   +1 more
openaire   +2 more sources