121 search results - page 4 / 25 » Iterative Learning from Positive Data and Negative Counterex... |
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
ALT
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Iterative learning is a model of language learning from positive data, due to Wiehagen. When compared to a learner in Gold's original model of language learning from...
ALT
2001
Springer
14 years 2 months ago
2001
Springer
The present work is dedicated to the study of modes of data-presentation in the range between text and informant within the framework of inductive inference. In this study, the le...
GOSLER
1995
13 years 9 months ago
1995
The present paper deals with the learnability of indexed families of uniformly recursive languages from positive data as well as from both, positive and negative data. We consider...
SYNASC
2006
IEEE
13 years 11 months ago
2006
IEEE
Existing methods of information extraction from HTML documents include manual approach, supervised learning and automatic techniques. The manual method has high precision and reca...