421 search results - page 25 / 85 » Reducing Label Complexity by Learning From Bags |
AAAI
2004
14 years 11 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
KDD
2008
ACM
15 years 10 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...
ALT
2003
Springer
15 years 6 months ago
2003
Springer
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
77
Voted
ARTMED
2006
14 years 9 months ago
2006
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...