161 search results - page 21 / 33 » A Multiple Resampling Method for Learning from Imbalanced Da... |
150
Voted
ESANN
2006
15 years 5 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
117
Voted
ICMI
2003
Springer
15 years 9 months ago
2003
Springer
We present methods for inferring the cost of interrupting users based on multiple streams of events including information generated by interactions with computing devices, visual ...
160
Voted
WEBI
2010
Springer
15 years 1 months ago
2010
Springer
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
163
Voted
SP
1999
IEEE
15 years 8 months ago
1999
IEEE
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
142
Voted
PAMI
2008
15 years 3 months ago
2008
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...