Title of article :
Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming
Author/Authors :
KAZAKOV، DIMITAR نويسنده , , MANANDHAR، SURESH نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2001
Pages :
-120
From page :
121
To page :
0
Abstract :
The consequences of the evolving HIV/AIDS epidemic have not been properly considered by any agency. Most existing development indicators do not pick up the impact of AIDS nor do they measure the complex adverse consequences the disease may have in the decades ahead. Incomplete and conflicting demographic and health indicators compound the problem. This epidemic is a "long waveʹ event and its effects will be in Africa and elsewhere for many decades ahead. The result is that development targets may be unattainable and the way development is carried out may need to be rethought in many countries.
Keywords :
unsupervised machine learning , Natural language , inductive logic programming , word segmentation
Journal title :
MACHINE LEARNING
Serial Year :
2001
Journal title :
MACHINE LEARNING
Record number :
35037
Link To Document :
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