Gotowe bibliografie tematyczne / Concept drift

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Concept drift”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych

Wybierz rodzaj źródła:

Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Concept drift”.

Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.

Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.

Artykuły w czasopismach na temat "Concept drift"

1

Museba, Tinofirei, Fulufhelo Nelwamondo, and Khmaies Ouahada. "ADES: A New Ensemble Diversity-Based Approach for Handling Concept Drift." Mobile Information Systems 2021 (June 1, 2021): 1–17. http://dx.doi.org/10.1155/2021/5549300.

Pełny tekst źródła
Streszczenie:
Beyond applying machine learning predictive models to static tasks, a significant corpus of research exists that applies machine learning predictive models to streaming environments that incur concept drift. With the prevalence of streaming real-world applications that are associated with changes in the underlying data distribution, the need for applications that are capable of adapting to evolving and time-varying dynamic environments can be hardly overstated. Dynamic environments are nonstationary and change with time and the target variables to be predicted by the learning algorithm and oft
Style APA, Harvard, Vancouver, ISO itp.
2

Zhu, Jiaqi, Shaofeng Cai, Fang Deng, Beng Chin Ooi, and Wenqiao Zhang. "METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection." Proceedings of the VLDB Endowment 17, no. 4 (2023): 794–807. http://dx.doi.org/10.14778/3636218.3636233.

Pełny tekst źródła
Streszczenie:
Real-time analytics and decision-making require online anomaly detection (OAD) to handle drifts in data streams efficiently and effectively. Unfortunately, existing approaches are often constrained by their limited detection capacity and slow adaptation to evolving data streams, inhibiting their efficacy and efficiency in handling concept drift , which is a major challenge in evolving data streams. In this paper, we introduce METER, a novel dynamic concept adaptation framework that introduces a new paradigm for OAD. METER addresses concept drift by first training a base detection model on hist
Style APA, Harvard, Vancouver, ISO itp.
3

Sakurai, Guilherme Yukio, Jessica Fernandes Lopes, Bruno Bogaz Zarpelão, and Sylvio Barbon Junior. "Benchmarking Change Detector Algorithms from Different Concept Drift Perspectives." Future Internet 15, no. 5 (2023): 169. http://dx.doi.org/10.3390/fi15050169.

Pełny tekst źródła
Streszczenie:
The stream mining paradigm has become increasingly popular due to the vast number of algorithms and methodologies it provides to address the current challenges of Internet of Things (IoT) and modern machine learning systems. Change detection algorithms, which focus on identifying drifts in the data distribution during the operation of a machine learning solution, are a crucial aspect of this paradigm. However, selecting the best change detection method for different types of concept drift can be challenging. This work aimed to provide a benchmark for four drift detection algorithms (EDDM, DDM,
Style APA, Harvard, Vancouver, ISO itp.
4

Toor, Affan Ahmed, Muhammad Usman, Farah Younas, Alvis Cheuk M. Fong, Sajid Ali Khan, and Simon Fong. "Mining Massive E-Health Data Streams for IoMT Enabled Healthcare Systems." Sensors 20, no. 7 (2020): 2131. http://dx.doi.org/10.3390/s20072131.

Pełny tekst źródła
Streszczenie:
With the increasing popularity of the Internet-of-Medical-Things (IoMT) and smart devices, huge volumes of data streams have been generated. This study aims to address the concept drift, which is a major challenge in the processing of voluminous data streams. Concept drift refers to overtime change in data distribution. It may occur in the medical domain, for example the medical sensors measuring for general healthcare or rehabilitation, which may switch their roles for ICU emergency operations when required. Detecting concept drifts becomes trickier when the class distributions in data are sk
Style APA, Harvard, Vancouver, ISO itp.
5

M, Thangam, Bhuvaneswari A, and Sangeetha J. "A Framework to Detect and Classify Time-based Concept Drift." Indian Journal of Science and Technology 16, no. 48 (2023): 4631–37. https://doi.org/10.17485/IJST/v16i48.583.

Pełny tekst źródła
Streszczenie:
Abstract <strong>Objectives:</strong>&nbsp;To design a framework that performs time series decomposition to detect and classify the types of concept drift in a data stream. The aim of this research is to increase the classification accuracy in the detection and classification of drifts.&nbsp;<strong>Methods:</strong>&nbsp;The proposed method is validated using the Beijing PM2.5 dataset available in the UCI Machine Learning Repository. This dataset has 13 attributes and experiments were performed with the existing drift detection framework algorithms such as EFCDD, Meta-ADD, CIDD, and compariso
Style APA, Harvard, Vancouver, ISO itp.
6

Yang, Lingkai, Sally McClean, Mark Donnelly, Kevin Burke, and Kashaf Khan. "Detecting and Responding to Concept Drift in Business Processes." Algorithms 15, no. 5 (2022): 174. http://dx.doi.org/10.3390/a15050174.

Pełny tekst źródła
Streszczenie:
Concept drift, which refers to changes in the underlying process structure or customer behaviour over time, is inevitable in business processes, causing challenges in ensuring that the learned model is a proper representation of the new data. Due to factors such as seasonal effects and policy updates, concept drifts can occur in customer transitions and time spent throughout the process, either suddenly or gradually. In a concept drift context, we can discard the old data and retrain the model using new observations (sudden drift) or combine the old data with the new data to update the model (
Style APA, Harvard, Vancouver, ISO itp.
7

Yao, Yuan. "Concept Drift Visualization." Journal of Information and Computational Science 10, no. 10 (2013): 3021–29. http://dx.doi.org/10.12733/jics20101915.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Webb, Geoffrey I., Roy Hyde, Hong Cao, Hai Long Nguyen, and Francois Petitjean. "Characterizing concept drift." Data Mining and Knowledge Discovery 30, no. 4 (2016): 964–94. http://dx.doi.org/10.1007/s10618-015-0448-4.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Sun, Yange, Zhihai Wang, Yang Bai, Honghua Dai, and Saeid Nahavandi. "A Classifier Graph Based Recurring Concept Detection and Prediction Approach." Computational Intelligence and Neuroscience 2018 (June 7, 2018): 1–13. http://dx.doi.org/10.1155/2018/4276291.

Pełny tekst źródła
Streszczenie:
It is common in real-world data streams that previously seen concepts will reappear, which suggests a unique kind of concept drift, known as recurring concepts. Unfortunately, most of existing algorithms do not take full account of this case. Motivated by this challenge, a novel paradigm was proposed for capturing and exploiting recurring concepts in data streams. It not only incorporates a distribution-based change detector for handling concept drift but also captures recurring concept by storing recurring concepts in a classifier graph. The possibility of detecting recurring drifts allows re
Style APA, Harvard, Vancouver, ISO itp.
10

Ortíz Díaz, Agustín, José del Campo-Ávila, Gonzalo Ramos-Jiménez, et al. "Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift." Scientific World Journal 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/235810.

Pełny tekst źródła
Streszczenie:
The treatment of large data streams in the presence of concept drifts is one of the main challenges in the field of data mining, particularly when the algorithms have to deal with concepts that disappear and then reappear. This paper presents a new algorithm, called Fast Adapting Ensemble (FAE), which adapts very quickly to both abrupt and gradual concept drifts, and has been specifically designed to deal with recurring concepts. FAE processes the learning examples in blocks of the same size, but it does not have to wait for the batch to be complete in order to adapt its base classification me
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Rozprawy doktorskie na temat "Concept drift"

1

Beyene, Ayne, and Tewelle Welemariam. "Concept Drift in Surgery Prediction." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2330.

Pełny tekst źródła
Streszczenie:
Context: In healthcare, the decision of patient referral evolves through time because of changes in scientific developments, and clinical practices. Existing decision support systems of patient referral are based on the expert systems approach. This usually requires manual updates when changes in clinical practices occur. Automatically updating the decision support system by identifying and handling so-called concept drift improves the efficiency of healthcare systems. In the stateof-the- art, there are only specific ways of handling concept drift; developing a more generic technique which wor
Style APA, Harvard, Vancouver, ISO itp.
2

Hoffmann, Nico, Matthias Kirmse, and Uwe Petersohn. "Approaching Concept Drift by Context Feature Partitioning." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-83954.

Pełny tekst źródła
Streszczenie:
In this paper we present a new approach to handle concept drift using domain-specific knowledge. More precisely, we capitalize known context features to partition a domain into subdomains featuring static class distributions. Subsequently, we learn separate classifiers for each sub domain and classify new instances accordingly. To determine the optimal partitioning for a domain we apply a search algorithm aiming to maximize the resulting accuracy. In practical domains like fault detection concept drift often occurs in combination with imbalances data. As this issue gets more important learnin
Style APA, Harvard, Vancouver, ISO itp.
3

Garnett, Roman. "Learning from data streams with concept drift." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711615.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Marrs, Gary Russell. "Handling latency for online learning with concept drift." Thesis, University of Ulster, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.587478.

Pełny tekst źródła
Streszczenie:
We live in a world of ever-increasing amounts of data. There is a need to devise better and increasingly automated systems for analyzing and utilising such data, from online data streams, for the purposes of classification and prediction. Across many domains such as banking, financial markets, network management and even in biomedical monitoring of pathogen sensitivity to drugs, the competitive edge is gained by those who act on their data fastest, most accurately and keep up to date with any changes occurring in their domain. This has led to the rise of research into online learners. These au
Style APA, Harvard, Vancouver, ISO itp.
5

AlShammeri, Mohammed. "Dynamic Committees for Handling Concept Drift in Databases (DCCD)." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23498.

Pełny tekst źródła
Streszczenie:
Concept drift refers to a problem that is caused by a change in the data distribution in data mining. This leads to reduction in the accuracy of the current model that is used to examine the underlying data distribution of the concept to be discovered. A number of techniques have been introduced to address this issue, in a supervised learning (or classification) setting. In a classification setting, the target concept (or class) to be learned is known. One of these techniques is called “Ensemble learning”, which refers to using multiple trained classifiers in order to get better predictions by
Style APA, Harvard, Vancouver, ISO itp.
6

Minku, Leandro Lei. "Online ensemble learning in the presence of concept drift." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/1334/.

Pełny tekst źródła
Streszczenie:
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). Even though ensembles of learning machines have been used for handling concept drift, there has been no deep study of why they can be helpful for dealing with drifts and which of their features can contribute for that. The thesis mainly investigates how ensemble diversity affects accuracy in online learning in the presence of concept drift and how to use diversity in orde
Style APA, Harvard, Vancouver, ISO itp.
7

Widyantoro, Dwi Hendratmo. "Concept drift learning and its application to adaptive information filtering." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/170.

Pełny tekst źródła
Streszczenie:
Tracking the evolution of user interests is a problem instance of concept drift learning. Keeping track of multiple interest categories is a natural phenomenon as well as an interesting tracking problem because interests can emerge and diminish at different time frames. The first part of this dissertation presents a Multiple Three-Descriptor Representation (MTDR) algorithm, a novel algorithm for learning concept drift especially built for tracking the dynamics of multiple target concepts in the information filtering domain. The learning process of the algorithm combines the long-term and short
Style APA, Harvard, Vancouver, ISO itp.
8

ESCOVEDO, TATIANA. "NEUROEVOLUTIVE LEARNING AND CONCEPT DRIFT DETECTION IN NON-STATIONARY ENVIRONMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26748@1.

Pełny tekst źródła
Streszczenie:
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Os conceitos do mundo real muitas vezes não são estáveis: eles mudam com o tempo. Assim como os conceitos, a distribuição de dados também pode se alterar. Este problema de mudança de conceitos ou distribuição de dados é conhecido como concept drift e é um desafio para um modelo na tarefa de aprender a partir de dados. Este trabalho apresenta um novo modelo neuroevolutivo com inspiração quântica, baseado em um comitê de redes neurais do tipo M
Style APA, Harvard, Vancouver, ISO itp.
9

Barakat, Lida. "A context-aware approach for handling concept drift in classification." Thesis, Lancaster University, 2018. http://eprints.lancs.ac.uk/124995/.

Pełny tekst źródła
Streszczenie:
Adapting classification models to changes is one of the main challenges associated with learning from data in dynamic environments. In particular, the description of the target concept is not static and may change over time under the influence of varying environmental conditions (i.e. varying context). Although many adaptive learning approaches have been proposed in the literature to address such changes, these are limited in terms of the extent to which the contextual aspects are explicitly identified and utilised. Instead, existing approaches mostly rely on monitoring the effects of drift (i
Style APA, Harvard, Vancouver, ISO itp.
10

RAMAMURTHY, SASTHAKUMAR. "TRACKING RECURRENT CONCEPT DRIFT IN STREAMING DATA USING ENSEMBLE CLASSIFIERS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1196103577.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Książki na temat "Concept drift"

1

Black, Michaela. Learning to classify from temporal data in the presence of concept drift and noise. The author], 2002.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

United States. National Park Service., ed. Environmental assessment: Draft development concept plan : Quinault Area. National Park Service, 1988.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

United States. National Park Service., ed. Environmental assessment, draft development concept plan: Soleduck area. U.S. Dept. of the Interior, National Park Service, 1988.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

United States. National Park Service., ed. Environmental assessment, draft development concept plan: Ozette area. U.S. Dept. of the Interior, National Park Service, 1988.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

United States. National Park Service., ed. Environmental assessment, draft development concept plan: Kalaloch area. U.S. Dept. of the Interior, National Park Service, 1988.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Navajo Nation/National Park Service Team (U.S.) and United States. National Park Service, eds. Antelope Point development concept plan, environmental assessment: Draft. Navajo Nation and National Park Service, 1985.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

United States. National Park Service., ed. Zuma-Trancas Canyons: Draft development concept plan ; environmental assessment. U.S. Dept. of the Interior, National Park Service, 1992.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

U.S. National Park Service. Ellis Island development concept plan: Draft environmental impact statement. U.S. Dept. of the Interior, National Park Service, 2003.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

U.S. National Park Service. Ellis Island development concept plan: Draft environmental impact statement. U.S. Dept. of the Interior, National Park Service, 2003.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

U.S. National Park Service. Ellis Island development concept plan: Draft environmental impact statement. U.S. Dept. of the Interior, National Park Service, 2003.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Części książek na temat "Concept drift"

1

Shultz, Thomas R., Scott E. Fahlman, Susan Craw, et al. "Concept Drift." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_153.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Sammut, Claude, and Michael Harries. "Concept Drift." In Encyclopedia of Machine Learning and Data Mining. Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_153.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Sayed-Mouchaweh, Moamar. "Handling Concept Drift." In SpringerBriefs in Applied Sciences and Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25667-2_3.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Mattos, João Guilherme, Thuener Silva, Hélio Lopes, and Alex Laier Bordignon. "Interpretable Concept Drift." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93420-0_26.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Desale, Ketan Sanjay. "Concept Drift Fundamentals." In Concept Drift in Large Language Models. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003595533-2.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Gulla, Jon Atle, Geir Solskinnsbakk, Per Myrseth, Veronika Haderlein, and Olga Cerrato. "Concept Signatures and Semantic Drift." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22810-0_8.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Seraj, Raihan, and Mohiuddin Ahmed. "Concept Drift for Big Data." In Advanced Sciences and Technologies for Security Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35642-2_2.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Göpfert, Jan Philip, Barbara Hammer, and Heiko Wersing. "Mitigating Concept Drift via Rejection." In Artificial Neural Networks and Machine Learning – ICANN 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01418-6_45.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Orczyk, Tomasz, and Benjamin Mensah Dadzie. "Concept Drift Scoring and Visualization." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5881-7_4.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Desale, Ketan Sanjay. "Concept Drift and Large Language Models." In Concept Drift in Large Language Models. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003595533-4.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.

Streszczenia konferencji na temat "Concept drift"

1

Roberts, Isaac, Fabian Hinder, Valerie Vaquet, Alexander Schulz, and Barbara Hammer. "Conceptualizing Concept Drift." In ESANN 2025. Ciaco - i6doc.com, 2025. https://doi.org/10.14428/esann/2025.es2025-117.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Hajmohammed, Mustafa, Panagiotis Chountas, and Thierry J. Chaussalet. "Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams." In 2024 IEEE 12th International Conference on Intelligent Systems (IS). IEEE, 2024. http://dx.doi.org/10.1109/is61756.2024.10705246.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Gâlmeanu, Honorius, and Răzvan Andonie. "Concept Drift Visualization of SVM with Shifting Window." In 2024 28th International Conference Information Visualisation (IV). IEEE, 2024. http://dx.doi.org/10.1109/iv64223.2024.00046.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Li, Jin, Kleanthis Malialis, Stelios G. Vrachimis, and Marios M. Polycarpou. "Online Detection of Water Contamination Under Concept Drift." In 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability (CIETES Companion). IEEE, 2025. https://doi.org/10.1109/cietescompanion65203.2025.11003354.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Rahimli, Leyla, Feras M. Awaysheh, Sawsan Al Zubi, and Sadi Alawadi. "Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift." In 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). IEEE, 2024. https://doi.org/10.1109/flta63145.2024.10839814.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Chen, Yijie, and Wei Guo. "Concept drift data stream regression model based on adaptive drift detection and incremental broad learning." In International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2024), edited by Xin Xu and Azlan bin Mohd Zain. SPIE, 2025. https://doi.org/10.1117/12.3061638.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Pratt, Kevin B., and Gleb Tschapek. "Visualizing concept drift." In the ninth ACM SIGKDD international conference. ACM Press, 2003. http://dx.doi.org/10.1145/956750.956849.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Dries, Anton, and Ulrich Rückert. "Adaptive Concept Drift Detection." In Proceedings of the 2009 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2009. http://dx.doi.org/10.1137/1.9781611972795.21.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

YOSHIDA, Kenichi. "Speed of Concept Drift." In 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter). IEEE, 2022. http://dx.doi.org/10.1109/iiai-aai-winter58034.2022.00026.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Almog, Shaked, and Meir Kalech. "Diagnosis for Post Concept Drift Decision Trees Repair." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/3.

Pełny tekst źródła
Streszczenie:
Decision trees are commonly used in machine learning since they are accurate and robust classifiers. After a decision tree is built, the data can change over time, causing the classification performance to decrease. This data distribution change is a known challenge in machine learning, referred to as concept drift. Once a concept drift has been detected, usually by experiencing a decrease in the model's performance, it can be handled by training a new model. However, this method does not explain the drift harming the performance but only handles the drift's effects. The main contribution of t
Style APA, Harvard, Vancouver, ISO itp.

Raporty organizacyjne na temat "Concept drift"

1

J.B. Paces, L.A. Neymark, T. Ghezzehei, and P.F. Dobson. Testing the Concept of Drift Shadow at Yucca Mountain, Nevada. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/893814.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Tahmasbi, Ashraf. E-STRSAGA: an ensemble learning method to handle concept drift. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-638.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

S.J. Altman, A. Forsberg, W. Peplinski, and CK. Ho. Testing the COncept of Drift Shadow with X-Ray Absorption Imaging. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/894020.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

A.A. forsberg, S.J. Altman, W.J. Peplinski, and C.K. Ho. TESTING THE CONCEPT OF DRIFT SHADOW USING X-RAY ABSORPTION IMAGING POSTER. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/884920.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Peters, Sandra, and Matthew Winters. Comment Letter to the FASB on Measurement in the Financial Statements. CFA Institute, 2024. http://dx.doi.org/10.56227/24.2.5.

Pełny tekst źródła
Streszczenie:
CFA Institute comments on the FASB exposure draft of the Proposed Statement of Financial Accounting Concepts - Concepts Statement No. 8, Conceptual Framework for Financial Reporting Chapter 6: Measurement.
Style APA, Harvard, Vancouver, ISO itp.
6

Booker, James L., Richard J. Calantropo, Schuyler R. Porche, and Douglas A. McLiverty. In-Stride Evaluation of Draft Joint Concepts White Paper. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada627206.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

TRANSPORTATION SYSTEMS CENTER CAMBRIDGE MA. OSD CALS Architecture Master Plan Study. Data Dictionary. Concept Paper. Draft Version 1.2. Volume 29. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada265285.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Hugo, Jacques, John Forester, David Gertman, et al. Draft Function Allocation Framework and Preliminary Technical Basis for Advanced SMR Concepts of Operations. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1114571.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Jacques Hugo, David Gertman, Jeffrey Joe, Heather Medema, Julius Persensky, and April Whaley. Draft Function Allocation Framework and Preliminary Technical Basis for Advanced SMR Concepts of Operations. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1082399.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Wu, Yingjie, Selim Gunay, and Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/ytgv8834.

Pełny tekst źródła
Streszczenie:
Bridges often serve as key links in local and national transportation networks. Bridge closures can result in severe costs, not only in the form of repair or replacement, but also in the form of economic losses related to medium- and long-term interruption of businesses and disruption to surrounding communities. In addition, continuous functionality of bridges is very important after any seismic event for emergency response and recovery purposes. Considering the importance of these structures, the associated structural design philosophy is shifting from collapse prevention to maintaining funct
Style APA, Harvard, Vancouver, ISO itp.
Możesz być także zainteresowany rozszerzonymi bibliografiami na temat „Concept drift” dla poszczególnych typów źródeł:
Artykuły w czasopismach Rozprawy doktorskie Książki
Oferujemy zniżki na wszystkie plany premium dla autorów, których prace zostały uwzględnione w tematycznych zestawieniach literatury. Skontaktuj się z nami, aby uzyskać unikalny kod promocyjny!

Do bibliografii