W04-1712 used for further learning such as example-based learning and group learn - ing . The burden
W01-1603 training data . Rule-based and example-based learning algorithms are suitable to this
W01-1603 7 . 3.2 Example-based learning Example-based learning is suitable for classification
W01-1603 domain are shown in Figure 7 . 3.2 Example-based learning Example-based learning is suitable
W02-1808 examine the effectiveness of an example-based learning approach to resolve found ambiguities
N06-1016 function relied on the nature of the example-based learning method , which made their example
P97-1055 especially obvious in the context of example-based learning techniques , where the inference
E97-1055 especially obvious in the context of example-based learning techniques , where the inference
W04-1712 resource for statistical analysis and example-based learning . <title></title> <authors></authors>
W06-3505 the agent teaching process , the example-based learning method is invoked . In this process
W03-1724 probabilistic segmentation and a case - or example-based learning approach ( Kit et al. , 2002
W02-1808 memory-based , instance-based or example-based learning , has been popular for various
W93-0107 acquire word clusters Incremental example-based learning algorithms , like COBWEB Fisher
P13-2084 baselines : ( 1 ) SVM , ( 2 ) Positive Example-Based Learning ( PEBL ) proposed by ( Yu et
W10-1617 this is not to be mistaken for example-based learning techniques to perform automatic
P98-1029 be exploited .5 To determine 5 Example-based learning has also been applied succesfully
P98-1029 another . We used a version of example-based learning to determine whether these tagger
W98-1201 case-based , mem - ory-based , and example-based learning ) , generalization happens at
W00-0105 task Formally , the problem of example-based learning of WSD models can be stated as
W00-1501 for generating training data for example-based learning ( it can also take input from
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