Search results for "Weak Estimators"

showing 4 items of 4 documents

A Stochastic Search on the Line-Based Solution to Discretized Estimation

2012

Published version of a chapter in the book: Advanced Research in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31087-4_77 Recently, Oommen and Rueda [11] presented a strategy by which the parameters of a binomial/multinomial distribution can be estimated when the underlying distribution is nonstationary. The method has been referred to as the Stochastic Learning Weak Estimator (SLWE), and is based on the principles of continuous stochastic Learning Automata (LA). In this paper, we consider a new family of stochastic discretized weak estimators pertinent to tracking time-varying binomial distributions. As opposed to the SLWE, our p…

Mathematical optimizationDiscretizationLearning automataComputer scienceStochastic Point Locationlearning automataEstimatorVDP::Technology: 500::Information and communication technology: 550020206 networking & telecommunications02 engineering and technologyOracleVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425weak estimatorsnon-stationary environmentsLine (geometry)Convergence (routing)0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processingMultinomial distributionFinite set
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An adaptive approach to learning the preferences of users in a social network using weak estimators

2012

Published version of an article in the journal: Journal of Information Processing Systems. Also available from the publisher at: http://dx.doi.org/10.3745/JIPS.2012.8.2.191 - Open Access Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked i…

Profiling (computer programming)Service (systems architecture)Social networkbusiness.industryComputer scienceEstimatorRecommender systemMachine learningcomputer.software_genreVDP::Mathematics and natural science: 400::Mathematics: 410Target distributionVDP::Mathematics and natural science: 400::Information and communication science: 420time varying preferencesweak estimatorsTargeted advertisingRange (statistics)Artificial intelligencebusinesscomputerSoftwareuser's profilingInformation Systems
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On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm

2018

Designing and implementing efficient firewall strategies in the age of the Internet of Things (IoT) is far from trivial. This is because, as time proceeds, an increasing number of devices will be connected, accessed and controlled on the Internet. Additionally, an everincreasingly amount of sensitive information will be stored on various networks. A good and efficient firewall strategy will attempt to secure this information, and to also manage the large amount of inevitable network traffic that these devices create. The goal of this paper is to propose a framework for designing optimized firewalls for the IoT. This paper deals with two fundamental challenges/problems encountered in such firewalls…

Non-stationary environmentsFirewall optimizationsMatching timesWeak estimatorsBatch updatesLearning automata
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Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm

2016

Designing and implementing efficient firewall strategies in the age of the Internet of Things (IoT) is far from trivial. This is because, as time proceeds, an increasing number of devices will be connected, accessed and controlled on the Internet. Additionally, an ever-increasingly amount of sensitive information will be stored on various networks. A good and effi- cient firewall strategy will attempt to secure this information, and to also manage the large amount of inevitable network traffic that these devices create. The goal of this paper is to propose a framework for designing optimized firewalls for the IoT. This paper deals with two fundamental challenges/problems encountered in such…

Learning automataComputer sciencebusiness.industryDistributed computingSuiteEstimator020206 networking & telecommunicationsLearning Automata02 engineering and technologyFirewall OptimizationNon-Stationary EnvironmentsInformation sensitivityFirewall (construction)Batch UpdateMatching time0202 electrical engineering electronic engineering information engineeringRule matchingThe InternetWeak EstimatorsInternet of Thingsbusiness
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