41 search results - page 3 / 9 » Windowed active sampling for reliable neural learning |
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
ISNN
2007
Springer
14 years 11 days ago
2007
Springer
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
NIPS
1997
13 years 7 months ago
1997
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
FLAIRS
2004
13 years 7 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
ML
2007
ACM
13 years 5 months ago
2007
ACM
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...