232 search results - page 9 / 47 » Learning relational dependency networks in hybrid domains |
SOFSEM
2007
Springer
14 years 5 months ago
2007
Springer
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
ICNS
2007
IEEE
14 years 5 months ago
2007
IEEE
Research networks, apart from pure IP packet-switched services, progressively introduce hybrid services, which combine packet switching and circuit switching technologies. Optical...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
CSB
2005
IEEE
14 years 4 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
UAI
2003
14 years 8 days ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...