Results 21 to 30 of about 126,229 (309)

Extraction of Interesting Adaptation Rules

open access: yesProcedia Computer Science, 2014
AbstractAdaptive System (AS) aims to provide tailored services to users in various contexts. To achieve such behaviour, the system needs a user model providing information about users, e.g., about their preferences and custom information while ensuring their adaptation to the needs of each user.
Rim Nasfi, Makram Soui
openaire   +1 more source

An approach to online identification of Takagi-Sugeno fuzzy models [PDF]

open access: yes, 2004
An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning.
Angelov, Plamen   +3 more
core   +1 more source

An adaptive singular spectrum analysis method for extracting brain rhythms of electroencephalography [PDF]

open access: yesPeerJ, 2017
Artifacts removal and rhythms extraction from electroencephalography (EEG) signals are important for portable and wearable EEG recording devices. Incorporating a novel grouping rule, we proposed an adaptive singular spectrum analysis (SSA) method for ...
Hai Hu, Shengxin Guo, Ran Liu, Peng Wang
doaj   +2 more sources

eRules: a modular adaptive classification rule learning algorithm for data streams [PDF]

open access: yes, 2012
Advances in hardware and software in the past decade allow to capture, record and process fast data streams at a large scale. The research area of data stream mining has emerged as a consequence from these advances in order to cope with the real time ...
Salvador, M. M.   +10 more
core   +1 more source

Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark

open access: yesJournal of Big Data, 2018
Extraction of valuable data from extensive datasets is a standout amongst the most vital exploration issues. Association rule mining is one of the highly used methods for this purpose.
Sanjay Rathee, Arti Kashyap
doaj   +1 more source

Peak-at-end rule: adaptive mechanism predicts time-dependent decision weighting

open access: yesScientific Reports, 2020
Humans make decisions under various natural circumstances, integrating multiple pieces of information that are distributed over space and time. Although psychophysical and physiological studies have investigated temporal dynamics underlying perceptual ...
Ryuto Yashiro, Isamu Motoyoshi
doaj   +1 more source

Intelligent Adaptive PID Control for the Shaft Speed of a Marine Electric Propulsion System Based on the Evidential Reasoning Rule

open access: yesMathematics, 2023
To precisely and timely control the shaft speed for a marine electric propulsion system under normal sea conditions, a new shaft speed control technique combining the evidential reasoning rule with the traditional PID controller was proposed in this ...
Xuelin Zhang   +5 more
doaj   +1 more source

Text Mining to Alleviate the Cold-Start Problem of Adaptive Comparative Judgments

open access: yesFrontiers in Education, 2022
Comparative judgments permit the assessment of open-ended student works by constructing a latent quality scale through repeated pairwise comparisons (i.e., which works “win” or “lose”).
Michiel De Vrindt   +5 more
doaj   +1 more source

Attuning Adaptation Rules via a Rule-Specific Neural Network

open access: yes, 2022
There have been a number of approaches to employing neural networks (NNs) in self-adaptive systems; in many cases, generic NNs/deep learning are utilized for this purpose. When this approach is to be applied to improve an adaptation process initially driven by logical adaptation rules, the problem is that (1) these rules represent a significant and ...
Tomás Bures   +8 more
openaire   +2 more sources

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]

open access: yes, 2009
This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk   +5 more
core   +1 more source

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