W15-4418 |
Chang et al. ( 2012 ) presented a
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rule-based learning
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algorithm combined with a log-likelihood
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C04-1035 |
features . 5.1 SLIPPER We use a
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rule-based learning
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algorithm called SLIPPER ( for
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W13-2021 |
these rules can be learned using a
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rule-based learning
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algo - rithm . The TextRuler
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J03-4003 |
Hermjakob and Mooney ( 1997 ) for
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rule-based learning
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systems . In recent work , Chiang
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J02-1004 |
tagged corpus for statistical and
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rule-based learning
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. Since the generalized unknown-morpheme
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I05-2033 |
the statistical methods is the
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rule-based learning
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one . A valuable feature of the
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W97-1015 |
subtypes of decision trees and
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rule-based learning
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as well as hybrid approaches
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W01-1603 |
Transformation-based learning is a simple
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rule-based learning
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algorithm . Figure 6 illustrates
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P07-3014 |
Secondly , it is usual to use a
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rule-based learning
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algorithm when the attributes
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W97-1015 |
larger number of similar cases .
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Rule-based learning
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represents a second large category
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I05-2033 |
Transformation Based Learning and
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rule-based learning
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methods . One of the most common
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C04-1035 |
learning algorithms : SLIPPER , a
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rule-based learning
|
algorithm , and TiMBL , a memory-based
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C04-1035 |
learning algorithms : SLIPPER , a
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rule-based learning
|
algorithm , and TiMBL , a memory-based
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W03-0409 |
features ( many techniques used in
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rule-based learning
|
have been adapted from decision
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W97-1015 |
identical results . An advantage of
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rule-based learning
|
in comparison with other methods
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W03-0409 |
and other attempts to combine
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rule-based learning
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and memory-based learning ( Domingos
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P00-1016 |
annotation systems as well . •
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Rule-based learning
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requires a larger skill set ,
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W97-1015 |
most prominent algorithms for
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rule-based learning
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is FOIL ( Quinlan and Cameron
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P06-2074 |
by Soderland et al. ( 1995 ) ;
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rule-based learning
|
in Autoslog-TS by Riloff et al.
|