179 search results - page 33 / 36 » On Time Lookahead Algorithms for the Online Data Acknowledge... |
DCC
2009
IEEE
14 years 8 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
MMAS
2011
Springer
13 years 2 months ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
ACL
2009
13 years 5 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
ICDE
2010
IEEE
13 years 7 months ago
2010
IEEE
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
WEBDB
2005
Springer
14 years 28 days ago
2005
Springer
Recently, there has been increased interest in the retrieval and integration of hidden Web data with a view to leverage high-quality information available in online databases. Alt...