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Learning ECG Grammars Gabriella K'okai 1 , Zolt'an Alexin 2 , and Tibor Gyim'othy 3
 

Summary: Learning ECG Grammars
Gabriella K'okai 1 , Zolt'an Alexin 2 , and Tibor Gyim'othy 3
1 Institute of Informatics, J'ozsef Attila University
'
Arp'ad t'er 2, H­6720 Szeged, Hungary
e­mail: kokai@inf.u­szeged.hu
2 Department of Applied Informatics, J'ozsef Attila University
'
Arp'ad t'er 2, H­6720 Szeged, Hungary
e­mail: alexin@inf.u­szeged.hu
3 Research Group on Artificial Intelligence
Hungarian Academy of Sciences,
Aradi v'ertanuk tere 1, H­6720 Szeged, Hungary
e­mail: gyimi@inf.u­szeged.hu.
Abstract. In this paper a learning system is presented which integrates
an ECG waveform classifier (called PECG) with an interactive learner
(called IMPUT). The PECG system is based on an attribute grammar
specification of ECGs that has been transformed to Prolog. The IMPUT
system combines the interactive debugging technique IDT with the un­
folding algorithm introduced in SPECTRE. Using the IMPUT system

  

Source: Alexin, Zoltán - Institute of Informatics, University of Szeged

 

Collections: Computer Technologies and Information Sciences