474 search results - page 45 / 95 » Derivation of Knowledge Structures for Distributed Learning ... |
ECML
2001
Springer
14 years 1 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
IAT
2009
IEEE
14 years 17 days ago
2009
IEEE
This paper investigates incremental multiagent learning in static or evolving structured networks. Learning examples are incrementally distributed among the agents, and the object...
DAGM
2009
Springer
14 years 3 months ago
2009
Springer
The human ability to learn diļ¬cult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...
NIPS
2001
13 years 10 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
ECML
2006
Springer
14 years 11 days ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....