Expectation–Maximization algorithm for finite mixture of α -stable distributions
A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed...
Ausführliche Beschreibung
Autor*in: |
Castillo-Barnes, D. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Umfang: |
7 |
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Übergeordnetes Werk: |
Enthalten in: The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast - Liu, Yang ELSEVIER, 2018, an international journal, Amsterdam |
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Übergeordnetes Werk: |
volume:413 ; year:2020 ; day:6 ; month:11 ; pages:210-216 ; extent:7 |
Links: |
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DOI / URN: |
10.1016/j.neucom.2020.06.114 |
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ELV051681323 |
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10.1016/j.neucom.2020.06.114 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001168.pica (DE-627)ELV051681323 (ELSEVIER)S0925-2312(20)31103-6 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Castillo-Barnes, D. verfasserin aut Expectation–Maximization algorithm for finite mixture of α -stable distributions 2020 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed or heavy tailed. For that reason, it is useful to model the mixtures as components with α -stable distribution. Expectation–Maximization algorithm Elsevier Alpha-stable distribution Elsevier Alpha-stable mixture model Elsevier Martinez-Murcia, F.J. oth Ramírez, J. oth Górriz, J.M. oth Salas-Gonzalez, D. oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:413 year:2020 day:6 month:11 pages:210-216 extent:7 https://doi.org/10.1016/j.neucom.2020.06.114 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 413 2020 6 1106 210-216 7 |
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10.1016/j.neucom.2020.06.114 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001168.pica (DE-627)ELV051681323 (ELSEVIER)S0925-2312(20)31103-6 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Castillo-Barnes, D. verfasserin aut Expectation–Maximization algorithm for finite mixture of α -stable distributions 2020 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed or heavy tailed. For that reason, it is useful to model the mixtures as components with α -stable distribution. Expectation–Maximization algorithm Elsevier Alpha-stable distribution Elsevier Alpha-stable mixture model Elsevier Martinez-Murcia, F.J. oth Ramírez, J. oth Górriz, J.M. oth Salas-Gonzalez, D. oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:413 year:2020 day:6 month:11 pages:210-216 extent:7 https://doi.org/10.1016/j.neucom.2020.06.114 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 413 2020 6 1106 210-216 7 |
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10.1016/j.neucom.2020.06.114 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001168.pica (DE-627)ELV051681323 (ELSEVIER)S0925-2312(20)31103-6 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Castillo-Barnes, D. verfasserin aut Expectation–Maximization algorithm for finite mixture of α -stable distributions 2020 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed or heavy tailed. For that reason, it is useful to model the mixtures as components with α -stable distribution. Expectation–Maximization algorithm Elsevier Alpha-stable distribution Elsevier Alpha-stable mixture model Elsevier Martinez-Murcia, F.J. oth Ramírez, J. oth Górriz, J.M. oth Salas-Gonzalez, D. oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:413 year:2020 day:6 month:11 pages:210-216 extent:7 https://doi.org/10.1016/j.neucom.2020.06.114 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 413 2020 6 1106 210-216 7 |
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10.1016/j.neucom.2020.06.114 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001168.pica (DE-627)ELV051681323 (ELSEVIER)S0925-2312(20)31103-6 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Castillo-Barnes, D. verfasserin aut Expectation–Maximization algorithm for finite mixture of α -stable distributions 2020 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed or heavy tailed. For that reason, it is useful to model the mixtures as components with α -stable distribution. Expectation–Maximization algorithm Elsevier Alpha-stable distribution Elsevier Alpha-stable mixture model Elsevier Martinez-Murcia, F.J. oth Ramírez, J. oth Górriz, J.M. oth Salas-Gonzalez, D. oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:413 year:2020 day:6 month:11 pages:210-216 extent:7 https://doi.org/10.1016/j.neucom.2020.06.114 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 413 2020 6 1106 210-216 7 |
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A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed or heavy tailed. For that reason, it is useful to model the mixtures as components with α -stable distribution. |
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A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed or heavy tailed. For that reason, it is useful to model the mixtures as components with α -stable distribution. |
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A Gaussian Mixture Model (GMM) is a parametric probability density function built as a weighted sum of Gaussian distributions. Gaussian mixtures are used for modelling the probability distribution in many fields of research nowadays. Nevertheless, in many real applications, the components are skewed or heavy tailed. For that reason, it is useful to model the mixtures as components with α -stable distribution. |
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