801 search results - page 11 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
ALT
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
ECML
2003
Springer
14 years 20 days ago
2003
Springer
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
MLDM
2010
Springer
13 years 2 months ago
2010
Springer
We propose a way of creating product maps with self-organizing maps (SOMs) for purchase decision making. We previously proposed a way of purchase decision support using SOMs and th...