2082 search results - page 339 / 417 » Using model knowledge for learning inverse dynamics |
MM
2004
ACM
14 years 2 months ago
2004
ACM
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
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 ...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
EJIS
2007
13 years 8 months ago
2007
Model-Driven Architecture (MDA) supports the transformation from reusable models to executable software. Business representations, however, cannot be fully and explicitly represen...
WSC
2007
13 years 11 months ago
2007
Importance Sampling is a potentially powerful variance reduction technique to speed up simulations where the objective depends on the occurrence of rare events. However, it is cru...