73 search results - page 5 / 15 » Detecting the Learning Value of Items In a Randomized Proble... |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
PODS
2003
ACM
14 years 8 months ago
2003
ACM
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
CN
2010
13 years 8 months ago
2010
The dynamic point coverage problem in wireless sensor networks is to detect some moving target points in the area of the network using as little sensor nodes as possible. One way ...
GFKL
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...