2903 search results - page 446 / 581 » The Dark Side of Object Learning: Learning Objects |
NIPS
2004
13 years 10 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
NIPS
2001
13 years 10 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
IJCAI
2003
13 years 10 months ago
2003
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
JMLR
2008
13 years 9 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
IJON
2007
13 years 9 months ago
2007
A quantitative model of auditory learning is presented to predict how auditory patterns are stored in the songbird auditory forebrain. This research focuses on the caudomedial nid...