Title :
Benchmarking reservoir computing on time-independent classification tasks
Author :
Alexandre, Luís A. ; Embrechts, Mark J. ; Linton, Jonathan
Author_Institution :
Dept. of Inf., Univ. Beira Interior, Covilha, Portugal
Abstract :
This paper presents an extensive evaluation of reservoir computing for the case of classification problems that do not depend on time.We discuss how it is possible to adapt the reservoir approach to learning for the case of static classification problems. Then we present a set of experiments against K-PLS, MLP with entropic cost function and LS-SVM showing that this approach is quite competitive and has the advantage of having only one parameter to be chosen.
Keywords :
pattern classification; K-PLS; LS-SVM; MLP; entropic cost function; reservoir approach; reservoir computing; static classification problem; time-independent classification task; Computer networks; Cost function; Least squares methods; Machine learning; Neural networks; Recurrent neural networks; Reservoirs; Robot control; Speech recognition; Transfer functions;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178920
