92 search results - page 15 / 19 » Gaussian Processes Multiple Instance Learning |
IJMMS
2007
13 years 7 months ago
2007
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
NEUROSCIENCE
2001
Springer
14 years 1 days ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
EMNLP
2011
12 years 7 months ago
2011
This paper describes a novel approach to the semantic relation detection problem. Instead of relying only on the training instances for a new relation, we leverage the knowledge l...
VLSISP
2011
13 years 2 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...