1073 search results - page 21 / 215 » An Introduction to Learning Structured Information |
76
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BMCBI
2004
14 years 9 months ago
2004
Background: Two of the mostly unsolved but increasingly urgent problems for modern biologists are a) to quickly and easily analyse protein structures and b) to comprehensively min...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
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AMAI
2008
Springer
14 years 9 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
AAAI
2006
14 years 11 months ago
2006
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
ITRE
2005
IEEE
15 years 3 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...