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  • Search: subject:"Contaminated Data"
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Subject
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Artificial intelligence 1 Classification 1 Computer Science 1 Contaminated Data 1 Contaminated data 1 Data-driven smooth test 1 Electrical Engineering 1 Engineering 1 Framingham data 1 Innovation 1 Kernel Methods 1 Künstliche Intelligenz 1 Machine Learning 1 Primary 62G10 1 Secondary 62G07 1 Signalling 1 The least weighted squares 1 Theorie 1 Theory 1 Time series analysis 1 Two-sample test 1 Unsupervised fault detection 1 Zeitreihenanalyse 1 condition monitoring based on artificial intelligence 1 contaminated data filtering 1 efficiency for non-contaminated data 1 frequency-wise angular features 1 heteroscedasticity of disturbances 1 influence of collinearity 1 innovation and infrastructure 1 linear constraints 1 multivariate vibration signals 1 numerical simulations 1 of heteroscedasticity and of contamination 1 √n-consistency 1
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Online availability
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Undetermined 3 Free 1
Type of publication
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Article 3 Other 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 2
Author
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Baek, Jun-Geol 1 Byun, Yunseon 1 Kim, Joo Seuk 1 Maeng, Daeju 1 Pommeret, Denys 1 Víšek, Jan 1
Published in...
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Bulletin of the Czech Econometric Society 1 International journal of production research 1 Statistical Methods and Applications 1
Source
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RePEc 2 BASE 1 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals
Byun, Yunseon; Maeng, Daeju; Baek, Jun-Geol - In: International journal of production research 63 (2025) 10, pp. 3733-3759
Persistent link: https://www.econbiz.de/10015445266
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Kernel Methods for Classification with Irregularly Sampled and Contaminated Data.
Kim, Joo Seuk - 2011
contaminated data, where the majority of the data comes from a "nominal" distribution with a small fraction of the data coming from …) from the contaminated data. Our proposed density estimation achieves robustness by combinining a traditional kernel density … design a classifier. In this thesis, we present kernel methods for classification with irregularly sampled and contaminated …
Persistent link: https://www.econbiz.de/10009482954
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The least weighted squares with constraints and under heteroscedasticity
Víšek, Jan - In: Bulletin of the Czech Econometric Society 20 (2013)
  <p><span style="font-size: 11.000000pt; font-family: 'CMTI10';">Consistency </span><span style="font-size: 11.000000pt; font-family: 'CMR10';">of the </span><span style="font-size: 11.000000pt; font-family: 'CMTI10';">least weighted squares with constraints </span><span style="font-size: 11.000000pt; font-family: 'CMR10';">under </span><span style="font-size: 11.000000pt; font-family: 'CMTI10';">heteroscedasticity </span><span style="font-size: 11.000000pt; font-family: 'CMR10';">is proved and the patterns of numerical study (for the whole collection of situations) reveals its finite sample properties (on the background of the well-known </span><span style="font-size: 11.000000pt; font-family: 'CMTI10';">least trimmed squares</span><span style="font-size: 11.000000pt; font-family: 'CMR10';">). The possibility of...</span></p>
Persistent link: https://www.econbiz.de/10011152552
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A two-sample test when data are contaminated
Pommeret, Denys - In: Statistical Methods and Applications 22 (2013) 4, pp. 501-516
In this paper we consider the problem of testing whether two samples of contaminated data arise from the same …
Persistent link: https://www.econbiz.de/10010848095
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