Results 21 to 30 of about 814,308 (242)
A usual code for quantum wiretap channel requires an auxiliary random variable subject to the perfect uniform distribution. However, it is difficult to prepare such an auxiliary random variable.
Hayashi, Masahito
core +1 more source
An EWMA-DiD Control Chart to Capture Small Shifts in the Process Average Using Auxiliary Information
Among the Statistical Process Control (SPC) techniques, control charts are considered to be high weight-age due to their effectiveness in process variation.
Muhammad Anwar Mughal +2 more
doaj +1 more source
This article fundamentally aims at the proposition of new family of estimators using auxiliary information to assist the estimation of finite population mean of the study variable.
Saddam Hussain +7 more
doaj +1 more source
SAIN: Self-Attentive Integration Network for Recommendation
With the growing importance of personalized recommendation, numerous recommendation models have been proposed recently. Among them, Matrix Factorization (MF) based models are the most widely used in the recommendation field due to their high performance.
Kang, Jaewoo +3 more
core +1 more source
Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute [PDF]
Some ratio estimators for estimating the population mean of the variable under study, which make use of information regarding the population proportion possessing certain attribute, are proposed.
Chauhan, Pankaj +3 more
core +6 more sources
The empirical likelihood ratio test (ELRT) statistic is constructed for testing the homogeneity of several nonparametric populations in the presence of some auxiliary information. It is shown—under some regularity conditions and under the null hypothesis
Ronghuo Wu, Yongsong Qin
doaj +1 more source
On Source Coding with Coded Side Information for a Binary Source with Binary Side Information [PDF]
The lossless rate region for the coded side information problem is "solved," but its solution is expressed in terms of an auxiliary random variable. As a result, finding the rate region for any fixed example requires an optimization over a family of ...
Effros, Michelle +3 more
core +3 more sources
Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
Recommender systems suggest items of interest to users based on their preferences. These preferences are typically generated from user ratings of the items. If there are no ratings for a certain user or item, it is said that there is a cold start problem,
Nor Aniza Abdullah +3 more
doaj +1 more source
Collaborative Deep Learning for Recommender Systems [PDF]
Collaborative filtering (CF) is a successful approach commonly used by many recommender systems. Conventional CF-based methods use the ratings given to items by users as the sole source of information for learning to make recommendation.
Baldi P. +16 more
core +1 more source
Neutrosophic Exponential Ratio-Type Estimator for Finite Population Mean in Stratified Sampling [PDF]
This paper introduces an innovative neutrosophic exponential ratio-type estimator for estimating finite population means in stratified sampling environments with indeterminate data.
Anisha Taneja +2 more
doaj +1 more source

