74 search results - page 9 / 15 » Formalizing Multi-state Learning Dynamics |
UAI
1997
13 years 11 months ago
1997
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
GFKL
2007
Springer
14 years 2 months ago
2007
Springer
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
AIME
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Disease processes in patients are temporal in nature and involve uncertainty. It is necessary to gain insight into these processes when aiming at improving the diagnosis,...
WECWIS
2005
IEEE
14 years 4 months ago
2005
IEEE
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...
JMLR
2006
13 years 10 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...