571 search results - page 100 / 115 » Learning with Constrained and Unlabelled Data |
ECTEL
2006
Springer
14 years 1 months ago
2006
Springer
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
MM
2006
ACM
14 years 3 months ago
2006
ACM
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
DAGM
2011
Springer
12 years 9 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
ECML
1987
Springer
14 years 1 months ago
1987
Springer
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...