Blar i TKD - Institutt for informasjonsteknologi på emneord "Learning automata"
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A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme
(Journal article; Peer reviewed, 2014)Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the optimal point on the line when the only input it receives are stochastic signals about the direction in which it should ... -
Adaptive Pursuit Learning for Energy‐efficient Target Coverage in Wireless Sensor Networks
(Concurrency and Computation: Practice and Experience; e5975, Journal article; Peer reviewed, 2020-08-25)With the proliferation of technologies such as wireless sensor networks (WSNs) and the Internet of things (IoT), we are moving towards the era of automation without any human intervention. Sensors are the principal components ... -
Distributed Learning Automata-based S-learning scheme for classification
(Pattern Analysis and Applications;Published online 12 October 2019, Journal article; Peer reviewed, 2019-09-10)This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing an LA-based random walk ... -
Distributed learning automata-based scheme for classification using novel pursuit scheme
(Applied intelligenc;volume 50, issue 7, Peer reviewed; Journal article, 2020-03-02)Learning Automata (LA) is a popular decision making mechanism to “determine the optimal action out of a set of allowable actions” (Agache and Oommen, IEEE Trans Syst Man Cybern-Part B Cybern 2002(6): 738–749, 2002). The ... -
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning
(Communications in Computer and Information Science;volume 1130, Journal article; Peer reviewed; Book chapter, 2019)Over the past few years, innovation in the development of Wireless Sensor Networks (WSNs) has evolved rapidly. WSNs are being used in many application fields such as target coverage, battlefield surveillance, home security, ... -
Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth
(IEEE Transactions on Cybernetics;Date of Publication 06 January 2020, Journal article; Peer reviewed, 2020)Sensor fusion has attracted a lot of research attention during the few last years. Recently, a new research direction has emerged dealing with sensor fusion without knowledge of the ground truth. In this article, we present ... -
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions
(IEEE Transactions on Neural Networks and Learning Systems;Volume: 31, Issue: 2, Journal article; Peer reviewed, 2019)Although the field of learning automata (LA) has made significant progress in the past four decades, the LA-based methods to tackle problems involving environments with a large number of actions is, in reality, relatively ... -
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
(The International FLAIRS Conference Proceedings;Vol. 35 (2022): Proceedings of FLAIRS-35, Peer reviewed; Journal article, 2022-05-04)This paper deals with the problem of solving stochastic games (which have numerous business and economic applications), using the interesting tools of Learning Automata (LA), the precursors to Reinforcement Learning (RL). ... -
A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
(Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
A new methodology for identifying unreliable sensors in data fusion
(Knowledge-Based Systems;Volume 136, Journal article; Peer reviewed, 2017-11-15)Sensor fusion is a fundamental research topic that has received significant attention in the literature. An important body of research has focused on assessing the reliability of a sensor or more generally an “information ... -
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata
(Journal of Computational Science;Volume 24, Journal article; Peer reviewed, 2018-01)Unlike the computational mechanisms of the past many decades, that involved individual (extremely powerful) computers or clusters of machines, Cloud Computing (CC) is becoming increasingly pertinent and popular. Computing ... -
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm
(International Journal of Communication Systems;Volume 31, Issue 15 October 2018, Journal article; Peer reviewed, 2018-07-24)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 ... -
On the Online Classification of Data Streams Using Weak Estimators
(Lecture Notes in Computer Science;9799, Journal article; Peer reviewed, 2016)In this paper, we propose a novel online classifier for complex data streams which are generated from non-stationary stochastic properties. Instead of using a single training model and counters to keep important data ... -
On utilizing weak estimators to achieve the online classification of data streams
(Engineering Applications of Artificial Intelligence;Volume 86, November 2019, Journal article; Peer reviewed, 2019-09-02)Classification, typically, deals with unique and distinct training and testing phases. This paper pioneers the concept when these phases are not so clearly well-defined. More specifically, we consider the case where the ... -
On utilizing weak estimators to achieve the online classification of data streams
(Engineering Applications of Artificial Intelligence;Volume 86, November 2019, Journal article; Peer reviewed, 2019-09-02)Classification, typically, deals with unique and distinct training and testing phases. This paper pioneers the concept when these phases are not so clearly well-defined. More specifically, we consider the case where the ... -
Pursuit learning solution to underwater communications with limited mobility agents
(RACS '18 Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems;, Chapter; Chapter; Peer reviewed, 2018) -
Quantile Estimation Based on the Principles of the Search on the Line
(IFIP Advances in Information and Communication Technology;Vol 519, Chapter; Peer reviewed, 2018-05-22)The goal of our research is to estimate the quantiles of a distribution from a large set of samples that arrive sequentially. We propose a novel quantile estimator that requires a finite memory and is simple to implement. ...