1837 search results - page 70 / 368 » Learning From Ambiguous Examples |
124
Voted
ECML
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
112
Voted
PAKDD
2005
ACM
15 years 8 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
140
Voted
AAAI
2007
15 years 5 months ago
2007
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
128
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
125
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MLDM
2007
Springer
15 years 8 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...