Blar i Scientific Publications in Information and Communication Technology på tittel
Viser treff 456-475 av 687
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On using "Stochastic learning on the line" to design novel distance estimation methods
(Journal article; Peer reviewed, 2018) -
On Using Novel "Anti-Bayesian" Techniques for the Classification of Dynamical Data Streams
(Chapter; Peer reviewed, 2017) -
On using prototype reduction schemes to optimize locally linear reconstruction methods
(Journal article; Peer reviewed, 2012)This paper concerns the use of prototype reduction schemes (PRS) to optimize the computations involved in typical k-nearest neighbor (k-NN) rules. These rules have been successfully used for decades in statistical pattern ... -
On using the theory of regular functions to prove the ε-Optimality of the Continuous Pursuit Learning Automaton
(Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)There are various families of Learning Automata (LA) such as Fixed Structure, Variable Structure, Discretized etc. Informally, if the environment is stationary, their ε-optimality is defined as their ability to converge ... -
On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists
(Journal article; Peer reviewed, 2020) -
On Utilizing Association and Interaction Concepts for Enhancing Microaggregation in Secure Statistical Databases
(Journal article; Peer reviewed, 2010)This paper presents a possibly pioneering endeavor to tackle the microaggregation techniques (MATs) in secure statistical databases by resorting to the principles of associative neural networks (NNs). The prior art has ... -
On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases
(Journal article; Peer reviewed, 2013)We consider the micro-aggregation problem which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best ... -
On utilizing weak estimators to achieve the online classification of data streams
(Journal article; Peer reviewed, 2019) -
Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs
(Journal article; Peer reviewed, 2022)Extracting causal graph structures from multivariate time series, termed topology identification, is a fundamental problem in network science with several important applications. Topology identification is a challenging ... -
Online Machine Learning for Inference from Multivariate Time-series
(Doctoral Dissertations at the University of Agder; no: 429, Doctoral thesis, 2023)Inference and data analysis over networks have become significant areas of research due to the increasing prevalence of interconnected systems and the growing volume of data they produce. Many of these systems generate ... -
An Online Multiple Kernel Parallelizable Learning Scheme
(Journal article; Peer reviewed, 2023)The performance of reproducing kernel Hilbert space-based methods is known to be sensitive to the choice of the reproducing kernel. Choosing an adequate reproducing kernel can be challenging and computationally demanding, ... -
Online or offline – Does it matter?: A study of in-service teachers' perceptions of learning outcomes in Norway
(Peer reviewed; Journal article, 2020) -
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem
(Journal article; Peer reviewed, 2010)While training and estimation for Pattern Recognition (PR) have been extensively studied, the question of achieving these when the resources are both limited and constrained is relatively open. This is the focus of this ... -
Optimal Service Placement with QoS Monitoring in NFV and Slicing Enabled 5G IoT Networks
(Chapter, 2021)Network function virtualization (NFV) and network slicing are two promising enabling technologies for 5G networks. Considering the volume of data traffic generated by Internet of things (IoT) applications and their service ... -
Optimal “anti-Bayesian” parametric pattern classification for the exponential family using Order Statistics criteria
(Lecture Notes in Computer Science;7324, Chapter; Peer reviewed, 2012)This paper reports some pioneering results in which optimal parametric classification is achieved in a counter-intuitive manner, quite opposed to the Bayesian paradigm. The paper, which builds on the results of [1], ... -
Optimal “anti-Bayesian” parametric pattern classification using Order Statistics criteria
(Lecture Notes in Computer Science;7441, Chapter; Peer reviewed, 2012)The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature ... -
Optimization channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach
(Journal article; Peer reviewed, 2015) -
Optimization of Multivariate Hawkes Processes via Decentralized Learning Automata: Towards Learning How to Boost Factual Information on Social Networks
(Doctoral dissertations at University of Agder;no. 439, Doctoral thesis, 2023)The increasing amount of misleading information on Social Media (SM) platforms is problematic. The reason is that these platforms have become one of the primary sources of information due to their ease-of-use and cheap ... -
Optimization of the relay selection scheme in cooperative retransmission networks
(Chapter; Peer reviewed, 2011)Cooperative MAC protocol design has attracted much attention recently thanks to the development of relaying techniques. In single-relay C-ARQ, the relay selection scheme cannot work efficiently in a dense network, due to ... -
Optimizing Self-organizing Lists-on-Lists Using Transitivity and Pursuit-Enhanced Object Partitioning
(IFIP Advances in Information and Communication Technology; vol. 583, Chapter; Peer reviewed, 2020)