97,49 €
114,69 €
-15% su kodu: ENG15
Some Applications of Expectation Maximization Algorithm
Some Applications of Expectation Maximization Algorithm
97,49 €
114,69 €
  • Išsiųsime per 10–14 d.d.
Expectation maximization (EM) algorithm is a popular and powerful mathematical method for statistical parameter estimation in case that there exist both observed data and hidden data. This book focuses on applications of EM in which the implicit relationship is essential to connect observed data and hidden data. In other words, such applications reinforce EM which in turn extends estimation methods like maximum likelihood estimation (MLE) or moment method.
97.49 2025-07-27 23:59:00
  • Autorius: Loc Nguyen
  • Leidėjas:
  • ISBN-10: 1636486185
  • ISBN-13: 9781636486185
  • Formatas: 15.2 x 22.9 x 1.2 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Some Applications of Expectation Maximization Algorithm + nemokamas atvežimas! | knygos.lt

Atsiliepimai

Įvertinimų nėra.
Įvertink ir tu! Visi atsiliepimai

Aprašymas

Expectation maximization (EM) algorithm is a popular and powerful mathematical method for statistical parameter estimation in case that there exist both observed data and hidden data. This book focuses on applications of EM in which the implicit relationship is essential to connect observed data and hidden data. In other words, such applications reinforce EM which in turn extends estimation methods like maximum likelihood estimation (MLE) or moment method.
NEMOKAMAS PRISTATYMAS

EXTRA 15 % nuolaida su kodu: ENG15

97,49 €
114,69 €
Išsiųsime per 10–14 d.d.

Akcija baigiasi už 3d.19:25:56

Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.

Prisijunkite ir už šią prekę
gausite 1,15 Knygų Eurų!?
Įsigykite dovanų kuponą
Daugiau

Expectation maximization (EM) algorithm is a popular and powerful mathematical method for statistical parameter estimation in case that there exist both observed data and hidden data. This book focuses on applications of EM in which the implicit relationship is essential to connect observed data and hidden data. In other words, such applications reinforce EM which in turn extends estimation methods like maximum likelihood estimation (MLE) or moment method.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
[{"option":"72","probability":0.5,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6880855e94e791753253214.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"71","probability":15,"style":{"backgroundColor":"#de1e2f"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6880849d949d31753253021.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"68","probability":14,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/68808466bf36f1753252966.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"66","probability":13,"style":{"backgroundColor":"#e21e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/68808430739a31753252912.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"65","probability":14,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/68808402ec9871753252866.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"64","probability":15,"style":{"backgroundColor":"#e21e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/688083260580d1753252646.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"62","probability":14,"style":{"backgroundColor":"#f3f3f3"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/688082c9e40011753252553.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"61","probability":14.5,"style":{"backgroundColor":"#e31e30"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/688082af498881753252527.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}}]