Results 201 to 210 of about 567,216 (263)

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Adaptive Observer for Coupled Wave PDE and Infinite ODE With Sampled Data and Unknown Input: Application to Brain Hemodynamics Estimation

International Journal of Adaptive Control and Signal Processing, EarlyView.
This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir, Sarah Mechhoud, Taous‐Meriem Laleg‐Kirati   +2 more
wiley   +1 more source

Discovery, Knowledge, Travelling

Bollettino della Società Geografica Italiana, 2012
Elio Manzi
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Knowledge discovery in ontologies

Intelligent Data Analysis, 2012
Ontologies allow us to represent knowledge and data in implicit and explicit ways. Implicit knowledge can be derived by means of several deductive logic-based processes. This paper introduces a new way for extracting implicit knowledge from ontologies by means of a link analysis of the T-box of the ontology integrated with a data mining step on the A ...
Furletti B., TURINI, FRANCO
openaire   +4 more sources

Knowledge discovery standards

Artificial Intelligence Review, 2007
As knowledge discovery (KD) matures and enters the mainstream, there is an onus on the technology developers to provide the technology in a deployable, embeddable form. This transition from a stand-alone technology, in the control of the knowledgeable few, to a widely accessible and usable technology will require the development of standards.
Sarabjot S. Anand, Marko Grobelnik, Frank Herrmann, Mark F. Hornick, Christoph Lingenfelder, Niall Rooney, Dietrich Wettschereck   +6 more
openaire   +1 more source

Visualization for knowledge discovery

International Journal of Intelligent Systems, 1992
Summary: Although the fields of data visualization and automated knowledge discovery (AKD) share many goals, workers in each field have been reluctant to adopt the tools and methods of the other field. Many AKD researchers discourage the use of visualization tools because they believe that dependence on human steering will impede the development of ...
Georges G. Grinstein, John C. Sieg Jr., Stuart Smith, Marian G. Williams   +3 more
openaire   +1 more source

Knowledge Discovery in Databases

2019
The huge amount of data, generated by daily-life data sources, represents a big opportunity for the development and advancement in several fields: scientific research, social life and industry. At the same time, analyzing these big repositories is a hard challenge, since the overload of information can overwhelm our capability of reading and ...
Massimo Guarascio, Giuseppe Manco, Ettore Ritacco   +2 more
openaire   +2 more sources

Recommendation Knowledge Discovery

2006
Recently we presented a novel approach to the discovery of recommendation rules from a product case base that take account of all features of a recommended product, including those with respect to which the user’s preferences are unknown. In this paper, we investigate the potential role of default preferences in the discovery of recommendation rules ...
David McSherry, Christopher Stretch
openaire   +1 more source

Knowledge Discovery in Simulation Data

ACM Transactions on Modeling and Computer Simulation, 2020
This article provides a comprehensive and in-depth overview of our work on knowledge discovery in simulations. Application-wise, we focus on manufacturing simulations. Specifically, we propose and discuss a methodology for designing, executing, and analyzing large-scale simulation experiments with a broad coverage of possible system behavior targeted ...
Niclas Feldkamp, Sören Bergmann, Steffen Strassburger   +2 more
openaire   +2 more sources

Using domain knowledge in knowledge discovery

Proceedings of the eighth international conference on Information and knowledge management, 1999
With the explosive growth of the size of databases, many knowledge discovery applications deal with large quantities of data. There is an urgent need to develop methodologies which will allow the applications to focus search to a potentially interesting and relevant portion of the data, which can reduce the computational complexity of the knowledge ...
Suk-Chung Yoon, Lawrence J. Henschen, E. K. Park, S. A. M. Makki   +3 more
openaire   +1 more source