Results 11 to 20 of about 9,940 (265)
Control of Variation by Reward Probability. [PDF]
Journal of Experimental Psychology: Animal Behavior Processes, 2004 Two bar-press experiments with rats tested the rule that reducing expectation of reward increases the variation from which reward selects. Experiment 1 used a discrete-trial random-interval schedule, with trials signaled by light or sound. One signal always ended with reward; the other signal ended with reward less often.
Gharib, A, Gade, C, Roberts, Seth
openaire +3 more sources
Control Variates for Quantile Estimation [PDF]
Management Science, 1987 New point and interval estimators for quantiles that employ a control variate are introduced. The properties of these estimators do not depend on the usual assumption of joint normality between the random variable of interest and the control. Illustrative examples for queueing and stochastic activity network models are given.
Jason C. Hsu, Barry L. Nelson
openaire +1 more source
A novel method for the 3D inhomogeneous percolation on the Lattice with its application
Results in Physics, 2023 This article anticipates the puzzle of acquiring a three-dimensional inhomogeneous site percolation on an irregular Bethe Lattice (TDIBL). In this work, we explore a TDIBL with the intent to realize the right tradeoff among different percolating variates,
Muhammad Imran Shahid +2 more
doaj +1 more source
Discrete Variational Optimal Control [PDF]
Journal of Nonlinear Science, 2012 30 pages, 6 ...
Fernando Jiménez +2 more
openaire +2 more sources
Effect of mint juice on nitrite in pickled cabbage
Shanghai yufang yixue, 2023 ObjectiveTo explore the effect of mint juice on the nitrite content in pickled cabbage， and to determine the best concentration of mint juice through comprehensive sensory evaluation.MethodsThe control variates method was used to conduct this single ...
HE Yifei, LI Wenhui
doaj +1 more source
Sensors, 2021 Aimed at the problems in which the performance of filters derived from a hypothetical model will decline or the cost of time of the filters derived from a posterior model will increase when prior knowledge and second-order statistics of noise are ...
Lin Cao +6 more
doaj +1 more source
CoRR, 2016 In this paper we introduce a new unsupervised reinforcement learning method for discovering the set of intrinsic options available to an agent. This set is learned by maximizing the number of different states an agent can reliably reach, as measured by the mutual information between the set of options and option termination states.
Karol Gregor +2 more
openaire +3 more sources
Controlling variation in the comet assay [PDF]
Frontiers in Genetics, 2014 Variability of the comet assay is a serious issue, whether it occurs from experiment to experiment in the same laboratory, or between different laboratories analysing identical samples. Do we have to live with high variability, just because the comet assay is a biological assay rather than analytical chemistry? Numerous attempts have been made to limit
Collins, Andrew Richard +5 more
openaire +6 more sources
Monitoring Reliability for Three-Parameter Frechet Distribution Using Control Charts
IEEE Access, 2020 Control Charts for attributes have been widely adopted for examining the fraction non-conforming or non-conformities in a process. However, Shewhart control charts may face some practical problems when the process fraction of non-conformities is very low.
Youlong Wu +4 more
doaj +1 more source
Reliability analysis of helium pressure non-destructive testing method of the fuel rod
He jishu, 2023 BackgroundCurrently, the destructive puncture manometry method is used to measure helium pressure inside fuel rods. However, this method is expensive and does not guarantee 100% coverage.
HUANG Fan +4 more
doaj +1 more source