Browsing Department of Information and Communication Technology by Title
Now showing items 841-860 of 1296
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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) -
On-the-Fly Establishment of Multi-hop D2D Communication based on Android Smartphones and Embedded Platforms: Implementation and Real-Life Experiments
(Master thesis, 2015)(Konfidensiell til/confidential until 01.07.2020) -
Online failure prediction in UNIX systems
(Master thesis, 2011)This thesis investigates the possibility of enhancing an existing performance monitoring system for UNIX servers, by adding the capability of predicting upcoming failures, using generic UNIX operating system performance ... -
Online Hyperparameter Search Interleaved with Proximal Parameter Updates
(Chapter, 2020)There is a clear need for efficient hyperparameter optimization (HO) algorithms for statistical learning, since commonly applied search methods (such as grid search with N-fold cross-validation) are inefficient and/or ... -
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) -
Online Topology Identification From Vector Autoregressive Time Series
(Peer reviewed; Journal article, 2020)Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multi-variate data sets in a format amenable for ... -
Ontological Modelling of FEST with support for DDI Reasoning
(Master thesis, 2017)FEST is a Norwegian database and information service aimed towards providing all the required pharmaceutical data to different stakeholders such as hospitals, pharmaceutical companies, and practitioners. FEST being a ... -
Ontological representation of texts, and its applicationsin text analysis
(Master thesis, 2003)For the management of a company, the need to know what people think of their products or services is becoming increasingly important in an increasingly competitive market. As the Internet can nearly be described as a ... -
Ontology based study planning and classification of university subjects
(Master thesis, 2015)This is first and foremost a research project into study planning at the University of Agder. What tools are available for students now, and can an ontology help make it easier? Having a plan for your education is important, ... -
Ontology driven generation of tools for building and navigating knowledge bases
(Master thesis, 2004)Throughout the work of this thesis we have considered how to apply usability engineering to multiple different projects using their own ontologies. Reviews on existing applications similar to the Topic Map were made. The ... -
Ontology guided financial knowledge extraction from semistructured information sources
(Master thesis, 2003)Intermedium has an agent searching the Web for financial articles defined by certain criteria, for instance an industrial domain of interest. A portal service for reading and searching these articles, are available for ... -
Ontology-based clinical decision support system applied on diabetes
(Master thesis, 2017)Medical diagnosis is a multi-step process which is complex as it requires the consideration of many factors. Additionally, the accuracy of diagnosis varies depending on the skill and knowledge a physician has in the medical ...