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Pool-based active learning in approximate linear regression

Author
SUGIYAMA, Masashi1 ; NAKAJIMA, Shinichi2
[1] Department of Computer Science, Tokyo Institute of Technology, 2-12-1-W8-74 O-okayama, Meguro-ku, Tokyo 152-8552, Japan
[2] Nikon Corporation, 201-9 Oaza-Miizugahara, Kumagaya-shi, Saitama 360-8559, Japan
Source

Machine learning. 2009, Vol 75, Num 3, pp 249-274, 26 p ; ref : 1 p

ISSN
0885-6125
Scientific domain
Cognition; Computer science
Publisher
Springer, Heidelberg
Publication country
Germany
Document type
Article
Language
English
Author keyword
ALICE Approximate linear regression Covariate shift Importance-weighted least-squares Pool-based active learning
Keyword (fr)
Algorithme apprentissage Alignement Analyse régression Entrée sortie Estimation erreur Intelligence artificielle Jouet Modélisation Méthode moindre carré Pastille électronique Régression linéaire Semiconducteur Solution exacte Solution optimale Stratégie recherche Système actif
Keyword (en)
Learning algorithm Alignment Regression analysis Input output Error estimation Artificial intelligence Toy Modeling Least squares method Wafer Linear regression Semiconductor materials Exact solution Optimal solution Search strategy Active system
Keyword (es)
Algoritmo aprendizaje Alineamiento Análisis regresión Entrada salida Estimación error Inteligencia artificial Juguete Modelización Método cuadrado menor Pastilla electrónica Regresión lineal Semiconductor(material) Solución exacta Solución óptima Estrategia investigación Sistema activo
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
21556156

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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