Nearest-Neighbor Methods in Learning and Vision Theory and Practice

Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these m...

Celý popis

Uložené v:

Podrobná bibliografia
Hlavní autori:	Shakhnarovich, Gregory, Darrell, Trevor, Indyk, Piotr
Médium:	E-kniha Kniha
Jazyk:	English
Vydavateľské údaje:	Cambridge, Mass MIT Press 2006 The MIT Press
Vydanie:	1
Edícia:	Neural Information Processing series
Predmet:	Algorithms Algorithms > Congresses Computer Science Computing and Processing Congresses Data processing Geometry Geometry > Data processing > Congresses Machine learning Machine Learning & Neural Networks Machine learning > Congresses Nearest neighbor analysis (Statistics) Nearest neighbor analysis (Statistics) > Congresses
ISBN:	9780262195478, 026219547X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!