24 search results - page 3 / 5 » Decision Tree Instability and Active Learning |
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
GREC
2003
Springer
13 years 11 months ago
2003
Springer
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...
ACSAC
1999
IEEE
13 years 10 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
AIED
2009
Springer
14 years 26 days ago
2009
Springer
Inquiry learning involves the learner acquiring new concepts and skills by means of carrying out an investigation. Some previous studies have looked into how these learning activit...
AIME
1997
Springer
13 years 10 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...