421 search results - page 46 / 85 » Reducing Label Complexity by Learning From Bags |
128
Voted
EMNLP
2006
15 years 5 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
132
Voted
MICCAI
2005
Springer
16 years 4 months ago
2005
Springer
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
114
Voted
COLT
2007
Springer
15 years 10 months ago
2007
Springer
For the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in th...
151
Voted
COLING
2010
14 years 10 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
172
Voted
IJCAI
2001
15 years 5 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...