11325 search results - page 55 / 2265 » Active Model Selection |
119
click to vote
PCM
2004
Springer
15 years 7 months ago
2004
Springer
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three ty...
121
click to vote
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
110
Voted
ACL
2004
15 years 3 months ago
2004
In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
126
click to vote
ACL
2009
15 years 10 days ago
2009
While Active Learning (AL) has already been shown to markedly reduce the annotation efforts for many sequence labeling tasks compared to random selection, AL remains unconcerned a...
134
Voted
ASPDAC
2006
ACM
15 years 8 months ago
2006
ACM
- One of the critical issues in MTCMOS design is how to estimate a circuit delay quickly. In this paper, we propose a delay modeling and static timing analysis (STA) methodology ta...