Results 31 to 40 of about 5,927 (217)

Joint Matrix Factorization: A Novel Approach for Recommender System

open access: yesIEEE Access, 2020
Collaborative filtering (CF) is the most classical method for recommender system, but it is usually suffered from limited performance by the sparseness of user-to-item rating data.
Shaolun Sun   +6 more
doaj   +1 more source

An Efficient Estimation Procedure in Two-Occasion Successive Sampling [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2017
In this paper an efficient estimation procedure to estimate the current population mean in two-occasion successive sampling has been developed. An exponential regression type estimator of current population mean is proposed and corresponding optimum ...
G. N. Singh, A. K. Singh
doaj   +1 more source

An EWMA-DiD Control Chart to Capture Small Shifts in the Process Average Using Auxiliary Information

open access: yesTechnologies, 2018
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

Empirical Likelihood Ratio Tests for Homogeneity of Multiple Populations in the Presence of Auxiliary Information

open access: yesMathematics, 2022
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

Bayesian Optimization with Binary Auxiliary Information

open access: yesCoRR, 2019
This paper presents novel mixed-type Bayesian optimization (BO) algorithms to accelerate the optimization of a target objective function by exploiting correlated auxiliary information of binary type that can be more cheaply obtained, such as in policy search for reinforcement learning and hyperparameter tuning of machine learning models with early ...
Yehong Zhang   +2 more
openaire   +3 more sources

Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey

open access: yesApplied Sciences, 2021
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

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Median Estimation in the Presence of Auxiliary Information

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1989
SUMMARY This paper deals with the estimation, under simple random sampling, of a finite population median in the presence of an auxiliary variable. An estimator which is a simple modification of the ratio estimator for the mean is studied along with two other proposed estimators derived from a different approach.
Kuk, Anthony Y. C., Mak, T. K.
openaire   +2 more sources

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási   +14 more
wiley   +1 more source

A Systematic Review of the Impact of Auxiliary Information on Recommender Systems

open access: yesIEEE Access
Recommender systems are essential tools that provide personalized user experiences across various domains such as e-commerce, entertainment, social media, education and content streaming.
Matthew O. Ayemowa   +2 more
doaj   +1 more source

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