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» Inferring Knowledge from a Large Semantic Network
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ICML
2005
IEEE
16 years 5 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
IDA
2003
Springer
15 years 9 months ago
Guided Incremental Construction of Belief Networks
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
Charles A. Sutton, Brendan Burns, Clayton T. Morri...
BMCBI
2006
127views more  BMCBI 2006»
15 years 4 months ago
Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks
Background: To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to c...
Sok June Oh, Je-Gun Joung, Jeong Ho Chang, Byoung-...
PARMA
2004
174views Database» more  PARMA 2004»
15 years 5 months ago
Finding Spatial Patterns in Network Data
Data on modern networks are massive and are applied in the area of monitoring and analyzing activities at the network element, network-wide, and customer and service levels for a h...
Roland Heilmann, Daniel A. Keim, Christian Panse, ...
BMCBI
2008
163views more  BMCBI 2008»
15 years 4 months ago
i-SEGOPubmed: a web interface for semantic enabled browsing of PubMed using Gene Ontology
imately 20 million abstracts. Browsing such a huge repository to find relevant information as well as providing elearning service requires new generation of interfaces. Methods suc...
Mohammed Yeasin, Bhanu Vanteru, Jahangheer S. Shai...