186 search results - page 15 / 38 » Process Knowledge and Data Quality Outcomes |
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
IPPS
2010
IEEE
13 years 5 months ago
2010
IEEE
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
ICMLC
2010
Springer
13 years 5 months ago
2010
Springer
: Portuguese is specifically a difficult language with luxuriant tenses, and second language acquisition (SLA) is regarded as highly variable. Many (Chinese) students who learn Por...
ISIPTA
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....