2712 search results - page 169 / 543 » On learning algorithm selection for classification |
153
Voted
IJCAI
2001
15 years 4 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
147
Voted
EMNLP
2007
15 years 4 months ago
2007
Semantic inference is a core component of many natural language applications. In response, several researchers have developed algorithms for automatically learning inference rules...
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...
105
Voted
UAI
2004
15 years 4 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
138
Voted
IFIP12
2008
15 years 4 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...