4578 search results - page 23 / 916 » Learning from Multi-source Data |
AI
2002
Springer
13 years 8 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
IDEAL
2009
Springer
14 years 3 months ago
2009
Springer
This paper presents a multiagent architecture constructed for learning from the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carb...
BMCBI
2007
13 years 8 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
PERCOM
2004
ACM
14 years 8 months ago
2004
ACM
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
APIN
2004
13 years 8 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...