Title :
IJCNN 2001 challenge: generalization ability and text decoding
Author :
Chang, Chih-Chung ; Lin, Chih-Jen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
In IJCNN 2001 a new event is a competition with three challenging problems. In this paper we describe our approaches on solving the first two problems: generalization ability challenge and teat decoding challenge. The main learning technique used is the support vector machine
Keywords :
decoding; generalisation (artificial intelligence); learning (artificial intelligence); learning automata; optimisation; statistical analysis; generalization; learning technique; optimisation; pattern classification; regression; support vector machine; text decoding; time series; Computer science; Decoding; Error correction; Length measurement; Machine learning; Risk management; Support vector machine classification; Support vector machines; Training data;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939502
