Results 61 to 70 of about 28,610,872 (373)
Research Report / Seminar für Statistik, Eidgenössische Technische Hochschule (ETH ...
openaire +4 more sources
Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data [PDF]
Similarity-based approaches represent a promising direction for time series analysis. However, many such methods rely on parameter tuning, and some have shortcomings if the time series are multivariate (MTS), due to dependencies between attributes, or ...
Bianchi, Filippo Maria+3 more
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Network topology drives population temporal variability in experimental habitat networks
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu+3 more
wiley +1 more source
A Family of Correlated Observations: From Independent to Strongly Interrelated Ones
This paper proposes a new classification of correlated data types based upon the relative number of direct connections among observations, producing a family of correlated observations embracing seven categories, one whose empirical counterpart currently
Daniel A. Griffith
doaj +1 more source
Antipersistent binary time series
Completely antipersistent binary time series are sequences in which every time that an $N$-bit string $\mu$ appears, the sequence is continued with a different bit than at the last occurrence of $\mu$.
Ausloos M+12 more
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The dual nature of TDC – bridging dendritic and T cells in immunity
TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
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A summary of the current state of the art in timeseries datamining and automated imputation.
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Modelling Stabilometric Time Series [PDF]
Stabilometry is a branch of medicine that studies balance-related human functions. Stabilometric systems generate time series. The analysis of these time series using data mining techniques can be very useful for domain experts.
Caraça-Valente Hernández, Juan Pedro+3 more
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Making tau amyloid models in vitro: a crucial and underestimated challenge
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
Real time clustering of time series using triangular potentials [PDF]
Motivated by the problem of computing investment portfolio weightings we investigate various methods of clustering as alternatives to traditional mean-variance approaches.
Pacchiano, Aldo, Williams, Oliver
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