346 search results - page 18 / 70 » Learning by Propagability |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
In many graph-based semi-supervised learning algorithms, edge weights are assumed to be fixed and determined by the data points' (often symmetric) relationships in input space...
ICWL
2004
Springer
14 years 29 days ago
2004
Springer
This paper presents an e-Learning Web-reachable hypermedia system as the foundation of a course content development toolset. Course content, developed in XML, is stored in native X...
IJKL
2007
13 years 7 months ago
2007
: Knowledge Management (KM) concerns innovating, spreading, sharing and using of knowledge assets. Dynamic knowledge flow management consists of cognition-compliant knowledge trans...
IJCAI
2007
13 years 9 months ago
2007
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...