Results 21 to 30 of about 576,901 (299)
Invariant Time-Series Classification [PDF]
, 2012 Time-series classification is a field of machine learning that has attracted considerable focus during the recent decades. The large number of time-series application areas ranges from medical diagnosis up to financial econometrics. Support Vector Machines (SVMs) are reported to perform non-optimally in the domain of time series, because they suffer ...
Josif Grabocka +2 more
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Compound method of time series classification
Nonlinear Analysis, 2019 Many real phenomenona preserves the properties of chaotic dynamics. However, unambiguous determination of belonging to a group of chaotic systems is difficult and complex problem.
Łukasz Korus, Michał Piórek
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A shapelet transform for time series classification [PDF]
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012 The problem of time series classification (TSC), where we consider any real-valued ordered data a time series, presents a specific machine learning challenge as the ordering of variables is often crucial in finding the best discriminating features. One of the most promising recent approaches is to find shapelets within a data set.
Jason Lines +3 more
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Time Series Clustering and Classification [PDF]
, 2019 Questo libro contiene informazioni ottenute da fonti autentiche e apprezzate. Sono stati compiuti sforzi ragionevoli per pubblicare dati e informazioni affidabili, ma l'autore e l'editore non possono assumersi la responsabilità della validità di tutti i materiali o delle conseguenze del loro utilizzo.
E. A. Maharaj +2 more
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Discriminative Dictionary Learning for Time Series Classification
IEEE Access, 2020 Time series symbolization based on the Symbolic Fourier Approximation (SFA) and a sliding window mechanism can effectively improve classification performance. Hence, it has become a research hotspot of time series representation learning.
Wei Zhang +3 more
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Time Series Classification Based on Multi-Dimensional Feature Fusion
IEEE Access, 2023 Time series classification is a key problem in data mining, most of existing classification methods directly extract one-dimensional data from one-dimensional features, which cannot effectively express the inter-relation between different time points ...
Shuo Quan +4 more
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Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System
, 2010 Stabilometry is a branch of medicine that studies balance-related human functions. The analysis of stabilometric-generated time series can be very useful to the diagnosis and treatment balance-related dysfunctions such as dizziness.
Caraça-Valente Hernández, Juan Pedro +9 more
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Explaining time series classifiers through meaningful perturbation and optimisation
, 2023 Machine learning approaches have enabled increasingly powerful time series classifiers. While performance has improved drastically, the resulting classifiers generally suffer from poor explainability, limiting their applicability in critical areas ...
Triguero, Isaac +6 more
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Transfer learning for time series classification [PDF]
2018 IEEE International Conference on Big Data (Big Data), 2018 Transfer learning for deep neural networks is the process of first training a base network on a source dataset, and then transferring the learned features (the network's weights) to a second network to be trained on a target dataset. This idea has been shown to improve deep neural network's generalization capabilities in many computer vision tasks such
Hassan Ismail Fawaz +4 more
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Hierarchical Factor Classification of Dendrochronological Time-Series
Annals of Silvicultural Research, 2020 In this paper, Hierarchical Factor Classification (HFC), an exploratory method of classification of characters is introduced, in comparison with Principal Component Analysis (PCA) in order to show its advantages, in particular when dealing with time ...
Sergio Camiz +3 more
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