1553 search results - page 9 / 311 » Learning from Multiple Sources of Inaccurate Data |
VTC
2010
IEEE
13 years 5 months ago
2010
IEEE
1The classic Dynamic Source Routing (DSR) protocol opts for the route requiring the lowest number of hops for transmitting data from the source to the destination. However, owing t...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
ALT
1994
Springer
13 years 11 months ago
1994
Springer
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
ML
2010
ACM
13 years 2 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...