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DB
2008
107views more  DB 2008»
15 years 6 months ago
Introducing function extraction into software testing
Software testing can benefit from technologies that enable evolution toward increased engineering discipline. In current practice, software developers lack practical means to dete...
Mark G. Pleszkoch, Richard C. Linger, Alan R. Hevn...
TEC
2002
133views more  TEC 2002»
15 years 6 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
TFS
2008
157views more  TFS 2008»
15 years 6 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
ICRA
2010
IEEE
189views Robotics» more  ICRA 2010»
15 years 5 months ago
Affordable SLAM through the co-design of hardware and methodology
— Simultaneous localization and mapping (SLAM) is a prominent feature for autonomous robots operating in undefined environments. Applications areas such as consumer robotics app...
Stéphane Magnenat, Valentin Longchamp, Mich...
IDEAL
2009
Springer
15 years 4 months ago
Optimizing Data Transformations for Classification Tasks
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
José María Valls, Ricardo Aler