115 search results - page 11 / 23 » Bayesian Learning of Loglinear Models for Neural Connectivit... |
112
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JMLR
2010
14 years 6 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
105
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RECOMB
2001
Springer
16 years 2 days ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
123
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ESWA
2008
14 years 11 months ago
2008
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
108
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NIPS
2008
15 years 1 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
GECCO
2008
Springer
15 years 25 days ago
2008
Springer
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...