2440 search results - page 49 / 488 » Abstraction Learning |
135
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
132
Voted
ESANN
2006
15 years 4 months ago
2006
Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
103
Voted
AUSAI
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful...
124
Voted
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
124
Voted
ICIAP
2005
ACM
16 years 2 months ago
2005
ACM
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...