Konu "Robustness" için listeleme
Toplam kayıt 16, listelenen: 1-16
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Designing shilling attacks on disguised binary data
(Inderscience Enterprises LTD, 2017)Privacy-preserving collaborative filtering methods are effectual ways of coping with information overload problem while protecting confidential data. Their success depends on the quality of the collected data. However, ... -
One-step M-estimators: Jones and Faddy's skewed t-distribution
(Taylor & Francis LTD, 2013)One-step M (OSM)-estimator needs some initial/preliminary estimates at the beginning of the calculation process. In this study, we propose to use new initial estimates for the calculation of the OSM-estimator. We consider ... -
Privacy-Aware Detection of Shilling Profiles on Arbitrarily Distributed Recommender Systems
(IEEE-Inst Electrical Electronics Engineers Inc, 2019)Due to the mutual advantage of small-scale online service providers, they need to collaborate to deliver recommendations based on arbitrarily distributed preference data without jeopardizing their confidentiality. Besides ... -
Ridge-Type MML Estimator in the Linear Regression Model
(Springer International Publishing Ag, 2019)Ridge regression is widely used to deal with the multicollinearity problem. However, traditional ridge estimator (Hoerl and Kennard 1970) loses its efficiency in the presence of outliers, since it is obtained based on least ... -
ROBUST 2(k) FACTORIAL DESIGNS: NON-NORMAL SYMMETRIC DISTRIBUTIONS
(Isoss Publ, 2012)Senoglu (2005, 2007a) considered the estimation and hypothesis testing procedures for the 2(k) factorial designs when the error distributions are skew. They obtained the modified maximum likelihood (MML) estimators of the ... -
Robust 2k factorial designs: Non-normal symmetric distributions
(2012)Şenoglu (2005, 2007a) considered the estimation and hypothesis testing procedures for the 2k factorial designs when the error distributions are skew. They obtained the modified maximum likelihood (MML) estimators of the ... -
Robust factorial ANCOVA with LTS error distributions
(Hacettepe University, Fac Sci, 2018)In this study, parameter estimation and hypotheses testing in the balanced factorial analysis of covariance (ANCOVA) model, when the distribution of error terms is long-tailed symmetric (LTS) are considered. The unknown ... -
A Robust Multi-Criteria Collaborative Filtering Algorithm
(IEEE, 2018)Collaborative filtering recommender systems assist individuals to discover relevant products or services that they might be interested in a large set of alternatives by analyzing the collected preferences. Recent research ... -
Robust tracking and disturbance rejection for systems with distributed time-delay
(2011)The robust servomechanism problem, which is to design a stabilizing controller such that the system output robustly tracks a given reference signal in the presence of certain disturbances, is considered for linear ... -
Robust Tracking and Disturbance Rejection for Time-Delay Systems
(IEEE, 2009)The robust servomechanism problem, which is to design a stabilizing controller such that the system output robustly tracks a given reference signal in the presence of certain disturbances, is considered for linear ... -
Robustness analysis of arbitrarily distributed data-based recommendation methods
(Pergamon-Elsevier Science LTD, 2016)Due to different shopping routines of people, rating preferences of many customers might be partitioned between two parties. Since two different e-companies might sell products from the same range to the identical set of ... -
Robustness Analysis of Naive Bayesian Classifier-Based Collaborative Filtering
(Springer-Verlag Berlin, 2013)In this study, binary forms of previously defined basic shilling attack models are proposed and the robustness of naive Bayesian classifier-based collaborative filtering algorithm is examined. Real data-based experiments ... -
Robustness analysis of naïve Bayesian classifier-based collaborative filtering
(Springer Verlag, 2013)In this study, binary forms of previously defined basic shilling attack models are proposed and the robustness of naïve Bayesian classifierbased collaborative filtering algorithm is examined. Real data-based experiments ... -
Robustness analysis of privacy-preserving model-based recommendation schemes
(Pergamon-Elsevier Science LTD, 2014)Privacy-preserving model-based recommendation methods are preferable over privacy-preserving memory-based schemes due to their online efficiency. Model-based prediction algorithms without privacy concerns have been ... -
Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms
(Ksii-Kor Soc Internet Information, 2013)Privacy-preserving collaborative filtering schemes are becoming increasingly popular because they handle the information overload problem without jeopardizing privacy. However, they may be susceptible to shilling or profile ... -
Shilling attacks against recommender systems: a comprehensive survey
(Springer, 2014)Online vendors employ collaborative filtering algorithms to provide recommendations to their customers so that they can increase their sales and profits. Although recommendation schemes are successful in e-commerce sites, ...