2512 search results - page 86 / 503 » Learning from Highly Structured Data by Decomposition |
IJAR
2007
14 years 9 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
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LREC
2008
14 years 11 months ago
2008
This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the seman...
CEC
2010
IEEE
14 years 11 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
PCI
2005
Springer
15 years 3 months ago
2005
Springer
Nowadays, the number of protein sequences being stored in central protein databases from labs all over the world is constantly increasing. From these proteins only a fraction has b...
ICONIP
2010
14 years 7 months ago
2010
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...