750 search results - page 89 / 150 » Learning SVMs from Sloppily Labeled Data |
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
ICML
2009
IEEE
14 years 4 months ago
2009
IEEE
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
KDD
2010
ACM
13 years 11 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...