Kaikki kirjat 25 % alennuksella koodilla: BOOKS

  • check Yli 10 miljoonaa kirjaa
  • check Uutuuksia joka päivä
  • check Yli 1 miljoona asiakasta luottaa meihin
  • check Hyvät hinnat ja alennukset
  • check Toimitus koko Eurooppaan

DIMENSIONALITY REDUCTION FOR CLASSIFICATION WITH HIGH-DIMENSIONAL DATA - Siva Tian

englanti
2010-08-25
82,45 € 109,93 €

-25% koodilla BOOKS

Toimittajalla varastossa

Toimitus 10-16 arkipäivässä

30 päivän palautusoikeus

High-dimensional data refers to data with a large number of variables. Classifying these data is a difficult problem because the enormous number of variables poses challenges to conventional classification methods and renders many classical techniques impractical. A natural solution is to add a dimensionality reduction step before a classification technique is applied. We Propose three methods to deal with ... Täydellinen kuvaus

Saatat myös pitää

Kuvaus

High-dimensional data refers to data with a large number of variables. Classifying these data is a difficult problem because the enormous number of variables poses challenges to conventional classification methods and renders many classical techniques impractical. A natural solution is to add a dimensionality reduction step before a classification technique is applied. We Propose three methods to deal with this problem: a simulated annealing (SA) based method, a multivariate adaptive stochastic search (MASS) method, and a functional adaptive classification (FAC) method. The third method considers functional predictors. They all utilize stochastic search algorithms to select a handful of optimal transformation directions from a large number of random directions in each iteration. These methods are designed to mimic variable selection type methods, such as the Lasso, or variable combination methods, such as PCA, or a method that combines the two approaches. We demonstrate the strengths of our methods on an extensive range of simulation and real-world studies.

Lisätietoja

Kirjoittaja Siva Tian
Julkaisija VDM Verlag Dr. Müller
Julkaisuvuosi 2010
Kannen tyyppi Pehmeäkantinen
EAN 9783639288681
Kirjoita oma arvostelusi
Arvostelet: DIMENSIONALITY REDUCTION FOR CLASSIFICATION WITH HIGH-DIMENSIONAL DATA
Arvostelusi:

Goodreads-arvostelut

82,45 € 109,93 €