Results 81 to 90 of about 782,515 (314)

Robust Offline Reinforcement Learning -- Certify the Confidence Interval

, 2023
Currently, reinforcement learning (RL), especially deep RL, has received more and more attention in the research area. However, the security of RL has been an obvious problem due to the attack manners becoming mature. In order to defend against such adversarial attacks, several practical approaches are developed, such as adversarial training, data ...
Yao, Jiarui, Du, Simon Shaolei
openaire   +2 more sources

Sensitivity Analysis of an OLS Multiple Regression Inference with Respect to Possible Linear Endogeneity in the Explanatory Variables, for Both Modest and for Extremely Large Samples

Econometrics, 2020
This work describes a versatile and readily-deployable sensitivity analysis of an ordinary least squares (OLS) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression model.
Richard A. Ashley, Christopher F. Parmeter   +1 more
doaj   +1 more source

The burden of intracranial atherosclerosis on cerebral small vessel disease: A community cohort study

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Exploring the prevalence and association between intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD), this study delved beyond the current scope, utilising high‐resolution vessel wall MRI (HRVW‐MRI) to investigate how subtle changes in intracranial atherosclerotic features influence the various burdens of ...
Joseph Amihere Ackah, Heng Du, Wenjie Yang, Huixing Zeng, Jason Tsz Lok Chan, Michael Lung Cheung Lo, Xiangyan Chen   +6 more
wiley   +1 more source

Robust Learning from Bites [PDF]

Many robust statistical procedures have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets. Secondly, robust confidence intervals for the estimated parameters or robust predictions according to the
Christmann, Andreas
core  

Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies

BMC Medical Research Methodology, 2019
Background Multi-center studies can generate robust and generalizable evidence, but privacy considerations and legal restrictions often make it challenging or impossible to pool individual-level data across data-contributing sites.
Di Shu, Jessica G. Young, Sengwee Toh
doaj   +1 more source

Management and Outcomes in Confirmed or Suspected Acute Symptomatic Seizure: Role of Structured Outpatient Care

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Post‐discharge management and outcomes of acute symptomatic seizures (ASyS) remain underexplored. We analyzed post‐discharge ASM management and outcomes in ASyS patients undergoing continuous EEG (cEEG), including the role of outpatient care through a post‐acute symptomatic seizure (PASS) clinic. Methods We performed a single‐center,
Vineet Punia, MarieElena Byrnes, Nicolas R. Thompson, Neishay Ayub, Clio Rubinos, Sahar Zafar, Adithya Sivaraju, Zhong Ying, Jessica R. Fesler, Stephen Hantus, Post‐Acute Symptomatic Seizure Investigation and Outcomes Network (PASSION) investigators   +10 more
wiley   +1 more source

Bibliography profiling of undergraduate theses in a professional psychology program

Avances en Psicología Latinoamericana, 2010
The bibliographic profi le of 125 undergraduate (licentiate)theses was analyzed, describing absolutequantities of several bibliometric variables, as wellas within-document indexes and average lags of thereferences.
Cristina Vargas-Irwin, Eugenia Csoban-Mirka, Jaime R. Robles   +2 more
doaj  

Scale-insensitive estimation of speed and distance traveled from animal tracking data

Movement Ecology, 2019
Background Speed and distance traveled provide quantifiable links between behavior and energetics, and are among the metrics most routinely estimated from animal tracking data. Researchers typically sum over the straight-line displacements (SLDs) between
Michael J. Noonan, Christen H. Fleming, Thomas S. Akre, Jonathan Drescher-Lehman, Eliezer Gurarie, Autumn-Lynn Harrison, Roland Kays, Justin M. Calabrese   +7 more
doaj   +1 more source

Multistep stochastic mirror descent for risk-averse convex stochastic programs based on extended polyhedral risk measures [PDF]

arXiv, 2014
We consider risk-averse convex stochastic programs expressed in terms of extended polyhedral risk measures. We derive computable confidence intervals on the optimal value of such stochastic programs using the Robust Stochastic Approximation and the Stochastic Mirror Descent (SMD) algorithms.
arxiv  

EEG Spectral Exponents and Visual Chirp Responses Mirror Anti‐Seizure Medication Load in Refractory Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Quantitative markers of cortical excitability may help identify responders to anti‐seizure medications (ASMs). We studied the relationship between ASM load and two electroencephalography (EEG) markers of cortical excitability in people with refractory epilepsy. Methods We included individuals with refractory focal epilepsy undergoing
Silvano R. Gefferie, Arthur R. van Nieuw Amerongen, Gerhard H. Visser, Maeike Zijlmans, Else A. Tolner, Mark van de Ruit, Arn M. J. M. van den Maagdenberg, Roland D. Thijs   +7 more
wiley   +1 more source