On full regression decision trees

One of the central problems of machine learning is considered—the regression restoration problem. A qualitatively new regression decision tree (RDT) is proposed that is based on the concept of a full decision tree (FDT). Earlier, a similar construction of a decision tree (DT) was successfully tested...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Pattern recognition and image analysis 2017, Vol.27 (1), p.1-7
Hauptverfasser:	Genrikhov, I. E., Djukova, E. V., Zhuravlev, V. I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Classification Computer Science Decision trees Image analysis Image Processing and Computer Vision Machine learning Mathematical Method in Pattern Recognition Pattern Recognition Regression Regression analysis Restoration Studies
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	One of the central problems of machine learning is considered—the regression restoration problem. A qualitatively new regression decision tree (RDT) is proposed that is based on the concept of a full decision tree (FDT). Earlier, a similar construction of a decision tree (DT) was successfully tested on the problem of classification by precedents, whose statement is close to the problem considered. The results of testing the model of a full RDT (FRDT) on real data are presented.
ISSN:	1054-6618 1555-6212
DOI:	10.1134/S1054661817010047