Dimension Reduction: A Guided Tour (Foundations and Trends(r) in Machine Learning)
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Dimension Reduction
EN PB NWISBN: 9781601983787 bzw. 1601983786, in Englisch, now publishers Inc, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
Von Händler/Antiquariat, BuySomeBooks.
now publishers Inc. Paperback. New. Paperback. 106 pages. Dimensions: 9.0in. x 6.1in. x 0.4in.Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the two-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features depend on the task at hand. Apart from teaching us about the data, dimension reduction can lead us to better models for inference. Dimension Reduction: A Guided Tour covers many well-known, and some less well-known, methods for dimension reduction for which the inferred variables are continuous. It describes the mathematics and key ideas underlying the methods, and provides some links to the literature for those interested in pursuing a topic further. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Von Händler/Antiquariat, BuySomeBooks.
now publishers Inc. Paperback. New. Paperback. 106 pages. Dimensions: 9.0in. x 6.1in. x 0.4in.Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the two-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features depend on the task at hand. Apart from teaching us about the data, dimension reduction can lead us to better models for inference. Dimension Reduction: A Guided Tour covers many well-known, and some less well-known, methods for dimension reduction for which the inferred variables are continuous. It describes the mathematics and key ideas underlying the methods, and provides some links to the literature for those interested in pursuing a topic further. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
Dimension Reduction, A Guided Tour (2010)
EN PB NWISBN: 9781601983787 bzw. 1601983786, in Englisch, Now Publishers Inc, Taschenbuch, neu.
Lieferung aus: Niederlande, 5-10 werkdagen.
bol.com.
Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the 2-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features depend on the task at hand.... Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the 2-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features depend on the task at hand. Apart from teaching us about the data, dimension reduction can lead us to better models for inference. Dimension Reduction: A Guided Tour covers many well-known, and some less well-known, methods for dimension reduction for which the inferred variables are continuous. It describes the mathematics and key ideas underlying the methods, and provides some links to the literature for those interested in pursuing a topic further.Taal: Engels;Afmetingen: 5x234x156 mm;Gewicht: 161,00 gram;Verschijningsdatum: juli 2010;ISBN10: 1601983786;ISBN13: 9781601983787; Engelstalig | Paperback | 2010.
bol.com.
Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the 2-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features depend on the task at hand.... Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data lives is detected. Dimension reduction has a long history as a method for data visualization, and for extracting key low dimensional features (for example, the 2-dimensional orientation of an object, from its high dimensional image representation). In some cases the desired low dimensional features depend on the task at hand. Apart from teaching us about the data, dimension reduction can lead us to better models for inference. Dimension Reduction: A Guided Tour covers many well-known, and some less well-known, methods for dimension reduction for which the inferred variables are continuous. It describes the mathematics and key ideas underlying the methods, and provides some links to the literature for those interested in pursuing a topic further.Taal: Engels;Afmetingen: 5x234x156 mm;Gewicht: 161,00 gram;Verschijningsdatum: juli 2010;ISBN10: 1601983786;ISBN13: 9781601983787; Engelstalig | Paperback | 2010.
3
Dimension Reduction (2010)
EN PBISBN: 9781601983787 bzw. 1601983786, in Englisch, Now Publishers Inc, Taschenbuch.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
Von Händler/Antiquariat, Ergodebooks.
Now Publishers Inc, 2010-07-20. Paperback. Used:Good. Ships Fast. Expedite Shipping Available.
Von Händler/Antiquariat, Ergodebooks.
Now Publishers Inc, 2010-07-20. Paperback. Used:Good. Ships Fast. Expedite Shipping Available.
5
Dimension Reduction
EN PB NWISBN: 9781601983787 bzw. 1601983786, in Englisch, now publishers Inc, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, zzgl. Versandkosten, Verandgebiet: EUR.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
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