Evaluating Learning Algorithms: A Classification Perspective - Couverture rigide

Japkowicz, Nathalie; Shah, Mohak

 
9780521196000: Evaluating Learning Algorithms: A Classification Perspective

Synopsis

Gives a solid basis for conducting performance evaluations of learning algorithms in practical settings with an emphasis on classification algorithms.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Nathalie Japkowicz is Professor of Computer Science at American University. She is a former assistant professor at Dalhousie University and lecturer at Ohio State University. Japkowicz co-organized numerous workshops on classifier evaluation and the class imbalance problem at AAAI and ICML. She has published many articles in peer-reviewed journals and conference proceedings.

Mohak Shah is a Postdoctoral Fellow at the Centre for Intelligent Machines at McGill University. He is a former CIHR Postdoctoral Fellow at the CHUL Genomics research centre and Laval University in Quebec. He has been named the Arnold Smith Commonwealth Scholar in 2002 and a National Scholar in India in 1995. Shah has served on program committees of various conferences and symposiums in addition to reviewing for major journals and conferences in the field.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781107653115: Evaluating Learning Algorithms: A Classification Perspective

Edition présentée

ISBN 10 :  1107653118 ISBN 13 :  9781107653115
Editeur : Cambridge University Press, 2014
Couverture souple