Results 1 to 10 of about 5,787,644 (326)
Rule-ranking method based on item utility in adaptive rule model [PDF]
PeerJ Computer Science, 2022 Background Decision-making is an important part of most human activities regardless of their daily activities, profession, or political inclination. Some decisions are relatively simple specifically when the consequences are insignificant while others ...
Erna Hikmawati +2 more
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Feature-Based and Adaptive Rule Adaptation in Dynamic Environments [PDF]
Data Science and Engineering, 2020 Rule-based systems have been used increasingly to augment learning algorithms for annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic approaches, in cases algorithms are not working well or lack from enough training ...
Alireza Tabebordbar +3 more
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Pruning Strategy on Adaptive Rule Model by Sorting Utility Items
IEEE Access, 2022 The adaptive Rule Model is an association rule development that formulates a minimum threshold value according to the data characteristics. The formulation process is based on item frequency and utility for other considerations, which requires high ...
Erna Hikmawati +2 more
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Adaptive rule: A novel framework for recommender system
ICT Express, 2020 Determining minimum support value on association rule is not easy to users. Hurdles such as data locations and data origins are a mountain that should be overcome by association rule.
Erna Hikmawati +2 more
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VehiclesThe energy storage system (ESS) plays a crucial role in electric vehicles (EVs), impacting their performance and efficiency. While batteries are the standard choice for energy storage, they come with drawbacks like low power density and limited life ...
Chew Kuew Wai, Taha Sadeq, Lee Cheun Hau
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Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark
Journal 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
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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting [PDF]
PeerJ Computer ScienceIn rapidly changing scenarios, uncertainty and chaotic oscillations often obstruct time series prediction. However, Type-1 fuzzy systems face challenges in handling high uncertainty levels, therefore, Type-2 fuzzy systems become a better solution ...
Abdulwhab Alkharashi +7 more
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Trajectory Tracking with Adaptive Robust Control for Quadrotor
Applied Sciences, 2021 This work proposes three robust mechanisms based on the MIT rule and the sliding-mode techniques. These robust mechanisms have to tune the gains of an adaptive Proportional-Derivative controller to steer a quadrotor in a predefined trajectory.
Tadeo Espinoza-Fraire +4 more
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Adaptive Rule Discovery for Labeling Text Data [PDF]
SIGMOD Conference, 2020 Creating and collecting labeled data is one of the major bottlenecks in machine learning pipelines and the emergence of automated feature generation techniques such as deep learning, which typically requires a lot of training data, has further ...
Sainyam Galhotra, Behzad Golshan, W. Tan
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An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems [PDF]
IEEE transactions on fuzzy systems, 2022 A major limitation of fuzzy or neuro-fuzzy systems is their failure to deal with high-dimensional datasets. This happens primarily due to the use of T-norm, particularly, product or minimum (or a softer version of it).
Guang-Fu Xue +4 more
semanticscholar +1 more source