1036 search results - page 105 / 208 » Unsupervised Learning |
DATAMINE
2006
13 years 9 months ago
2006
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
KBS
2006
13 years 8 months ago
2006
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
—A novel wake-sleep learning architecture for processing a robot’s facial expressions is introduced. According to neuroscience evidence, associative learning of emotional respo...
NIPS
2008
13 years 10 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...