Results 61 to 70 of about 232,423 (182)

Sequenced-Replacement Sampling for Deep Learning

open access: yesCoRR, 2018
We propose sequenced-replacement sampling (SRS) for training deep neural networks. The basic idea is to assign a fixed sequence index to each sample in the dataset. Once a mini-batch is randomly drawn in each training iteration, we refill the original dataset by successively adding samples according to their sequence index.
Chiu Man Ho   +3 more
openaire   +2 more sources

Sampling Distinguishable Elements with Replacement

open access: yesThe Annals of Mathematical Statistics, 1972
In sampling with replacement from a finite population, the sample mean is known to get a smaller variance if repetitions are deleted before forming the mean. The asymptotic behavior of the variance just mentioned is studied.
openaire   +2 more sources

Confidence sequences for sampling without replacement

open access: yes, 2020
Many practical tasks involve sampling sequentially without replacement (WoR) from a finite population of size $N$, in an attempt to estimate some parameter $θ^\star$. Accurately quantifying uncertainty throughout this process is a nontrivial task, but is necessary because it often determines when we stop collecting samples and confidently report a ...
Ian Waudby-Smith, Aaditya Ramdas
openaire   +3 more sources

Digestibility and feeding behavior of cattle fed soybean hulls to replace corn in high concentrate diets

open access: yesSemina: Ciências Agrárias, 2018
The objective of this study was to evaluate the replacement of 0, 25, 50, 75 and 100% of ground corn (GC) with pelleted soybean hulls (SH) in the concentrate portion of cattle diets.
Pedro Leonardo de Paula Rezende   +6 more
doaj   +1 more source

Decreasing returns to sampling without replacement [PDF]

open access: yesEconomics Letters
We study sampling from a finite population without replacement when seeking an extreme (lowest or highest) value. An example is a buyer searching for the lowest price. It is well known that there are decreasing returns to sampling from continuous populations: the expected minimum is a decreasing and discretely convex function of the sample size.
David P. Myatt, David Ronayne
openaire   +2 more sources

Economic burden of knee joint replacement in Iran

open access: yesCost Effectiveness and Resource Allocation
Background The knee is the most commonly afflicted weight-bearing joint. Osteoarthritis of the knee is regarded as one of the most commonly diagnosed causes of disability in the elderly.
Marziyeh Rajabi   +3 more
doaj   +1 more source

Renewal Theory for Sampling Without Replacement

open access: yesThe Annals of Probability, 1982
Let $\pi$ be a finite set, $\lambda$ a probability measure on $\pi, 0 0$ there exist constants $\delta > 0$ and $K > 0$ such that if $\rho = \max_{a\in\pi} \lambda(a) < \delta$ and $\mathrm{K}\rho < x < 1 - \mathrm{K}\rho$ then $\sum_{a\in\pi} |P(a, x) - \lambda(a)| < \varepsilon$.
openaire   +2 more sources

The Generalized Logistic Regression Estimator in a Finite Population Sampling without Replacement Setting with Randomized Response

open access: yesRevista Colombiana de Estadística, 2011
The randomized response technique (RR), introduced by Warner (1965) was designed to avoid non-answers to questions about sensitive issues and protect the privacy of the interviewee.
VÍCTOR HUGO SOBERANIS-CRUZ   +1 more
doaj  

PREDICTION OF FEAR FACTORS BEFORE TOTAL KNEE REPLACEMENT: A MIXED METHOD ANALYSIS ON ADVANCED KNEE OSTEOARTHRITIS PATIENTS

open access: yesPakistan Armed Forces Medical Journal, 2020
Objective: To determine fear factors before total knee replacement in advanced knee osteoarthritis patients. Study Design: Mixed method study. Place and Duration of Study: Study was conducted at department of Orthopedics, Pakistan Ordinance Factory
Muhammad Ikram   +4 more
doaj  

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