Approximate analysis of asymmetric single-service token-passing systems

1989 ◽  
Vol 37 (6) ◽  
pp. 572-577 ◽  
Author(s):  
O.C. Ibe ◽  
X. Cheng
Keyword(s):  
Approximate Analysis ◽  
Token Passing

Approximate analysis of asymmetric single-service prioritized token passing systems

1991 ◽  
Vol 39 (7) ◽  
pp. 1037-1040 ◽  
Author(s):  
B. Grela-M'Poko ◽  
M. Mehmet Ali ◽  
J.F. Hayes
Keyword(s):  
Approximate Analysis ◽  
Token Passing

Robust methods in analysis of natural language data

2002 ◽  
Vol 8 (2-3) ◽  
pp. 93-96
Author(s):  
AFZAL BALLIM ◽  
VINCENZO PALLOTTA
Keyword(s):  
Information Systems ◽  
Natural Language ◽  
Automated Analysis ◽  
Approximate Analysis ◽  
Robust Methods ◽  
Analysis Techniques ◽  
Intelligent Information Systems ◽  
Recent Interest ◽  
Language Data ◽  
Intelligent Information

The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.

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