Results 201 to 210 of about 691,873 (239)
Some of the next articles are maybe not open access.
Tuning of 802.11e network parameters
IEEE Communications Letters, 2006This paper introduces a mechanism which dynamically tunes the parameters of the 802.11e contention-based access method.
J. Freitag +2 more
openaire +1 more source
Parameter tuning for meta-heuristics
Knowledge-Based Systems, 2020Abstract These days meta-heuristic algorithms are gaining lot of popularity. The performance of the meta-heuristics depends upon the suitable selection of user dependent parameters. Finding the most suitable values for the parameters (fine tuning) is a challenging problem.
Susheel Kumar Joshi +1 more
openaire +1 more source
Design weighting parameter tuning of multivariable self-tuning controllers
Computers & Electrical Engineering, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cho, Won Chul +2 more
openaire +2 more sources
Parameter fine-tuning for robots
IEEE Control Systems Magazine, 1989Fine-tuning the parameters of robots is a time-consuming and costly procedure, so that many commercial robot companies cannot afford to do it and the physical capability of robots is not fully realized. Autotune, a computer procedure that automatically tunes parameters of feedback compensators for robot arms in order to circumvent manual tuning and ...
openaire +1 more source
Tuning Parameters in Engineering Design
Journal of Mechanical Design, 1991In the design and manufacture of mechanical devices, there are parameters whose values are determined by the manufacturing process in response to errors introduced in the devices’s manufacture or operating environment. Such parameters are termed tuning parameters, and are distinct from design parameters which the designer selects values for as a part ...
Kevin N. Otto, Erik K. Antonsson
openaire +1 more source
Parameter Tuning with User Models
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014Can we effectively influence aggregate user behavior in a cluster based retrieval (CBR) system by tuning its parameters? This question combines parameter tuning with models of user behavior. To address this question, we propose an approach based on three components: user model, criterion metric, and sensitivity analysis.
openaire +1 more source
Tuning the Parameters: A Maritime-Tuned Machine Learning Course
2023 ASEE Annual Conference & Exposition ProceedingsIn machine learning (ML) education, the choice of which datasets to utilize for student assignments and projects is critical for student success and meeting course learning outcomes. Poorly chosen datasets leave students disinterested and questioning the applicability of ML in real-world situations specific to their intended endeavors post academia ...
Vincenzo Antonio Ventricelli +2 more
openaire +2 more sources
Automatic Tuning of Control Parameters
2001Riding on the advances in adaptive control and techniques, modern industrial controllers are becoming increasingly intelligent. Many high-end controllers appearing in the market now come equipped with auto-tuning and self-tuning features. No longer is tedious manual tuning an inevitable part of control systems.
Tan Kok Kiong +3 more
openaire +1 more source
2015
In data mining, association rules can be shown when customers buy products, which products will be purchased at the same time. Scholars use this feature to develop market basket analysis to formulate marketing strategies for business. As we know, the data are changing all the time. When new data generate, the old data will be replaced. In the database,
Wei Chi Cheng +3 more
openaire +1 more source
In data mining, association rules can be shown when customers buy products, which products will be purchased at the same time. Scholars use this feature to develop market basket analysis to formulate marketing strategies for business. As we know, the data are changing all the time. When new data generate, the old data will be replaced. In the database,
Wei Chi Cheng +3 more
openaire +1 more source
Recovering software tuning parameters
2008Autonomic Computing is an approach to designing systems that are capable of self-management. Fundamental to the autonomic ideal is a software's awareness of and ability to tune parameters that affect metrics like performance and security. Traditionally, these parameters are tuned by human experts with extensive knowledge of parameter names and effects--
openaire +1 more source