Results 11 to 20 of about 3,595,676 (296)
A survey on detecting healthcare concept drift in AI/ML models from a finance perspective [PDF]
Frontiers in Artificial Intelligence, 2023 Data is incredibly significant in today's digital age because data represents facts and numbers from our regular life transactions. Data is no longer arriving in a static form; it is now arriving in a streaming fashion.
Abdul Razak M. S. +4 more
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One or two things we know about concept drift—a survey on monitoring in evolving environments. Part B: locating and explaining concept drift [PDF]
Frontiers in Artificial IntelligenceIn an increasing number of industrial and technical processes, machine learning-based systems are being entrusted with supervision tasks. While they have been successfully utilized in many application areas, they frequently are not able to generalize to ...
Fabian Hinder +2 more
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A survey on concept drift adaptation [PDF]
ACM Computing Surveys, 2014 Concept drift primarily refers to an online supervised learning scenario when the relation between the input data and the target variable changes over time. Assuming a general knowledge of supervised learning in this article, we characterize adaptive learning processes; categorize existing strategies for handling concept drift; overview the most ...
Abdelhamid Bouchachia +2 more
exaly +5 more sources
An Overview on Concept Drift Learning [PDF]
IEEE Access, 2019 Concept drift techniques aim at learning patterns from data streams that may change over time. Although such behavior is not usually expected in controlled environments, real-world scenarios can face changes in the data, such as new classes, clusters ...
Adriana Sayuri Iwashita, Joao Paulo Papa
doaj +5 more sources
One or two things we know about concept drift—a survey on monitoring in evolving environments. Part A: detecting concept drift [PDF]
Frontiers in Artificial IntelligenceThe world surrounding us is subject to constant change. These changes, frequently described as concept drift, influence many industrial and technical processes.
Fabian Hinder +2 more
doaj +2 more sources
Automatic therapy planning based on concept drift [PDF]
Frontiers in Rehabilitation SciencesStatic rehabilitation protocols often struggle to keep pace with the dynamic, non-linear reality of human motor recovery. Traditional therapy models frequently assume stationarity, relying on fixed performance schemes that fail to capture the highly ...
Miranda Ramírez-Cruz +3 more
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Model-based explanations of concept drift
Neurocomputing, 2023 The notion of concept drift refers to the phenomenon that the distribution generating the observed data changes over time. If drift is present, machine learning models can become inaccurate and need adjustment. While there do exist methods to detect concept drift or to adjust models in the presence of observed drift, the question of explaining drift, i.
Johannes Brinkrolf +2 more
exaly +5 more sources
LSTMDD: an optimized LSTM-based drift detector for concept drift in dynamic cloud computing [PDF]
PeerJ Computer ScienceThis study aims to investigate the problem of concept drift in cloud computing and emphasizes the importance of early detection for enabling optimum resource utilization and offering an effective solution.
Tajwar Mehmood +4 more
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Survey of Concept Drift Handling Methods in Data Streams [PDF]
Jisuanji kexue, 2022 At present,concept drift in the nonstationary data stream presents a trend of different speeds and and different space distribution,which has brought great challenges to many fields such as data mining and machine learning.In the past two de-cades,many ...
CHEN Zhi-qiang, HAN Meng, LI Mu-hang, WU Hong-xin, ZHANG Xi-long
doaj +1 more source
Online ensemble learning in the presence of concept drift [PDF]
, 2011 In online learning, each training example is processed separately and then discarded. Environments that require online learning are often non-stationary and their underlying distributions may change over time (concept drift).
Minku, Leandro Lei
core +7 more sources