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