1340 search results - page 109 / 268 » Structure learning of Bayesian networks using constraints |
118
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NECO
2002
15 years 3 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
178
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FPGA
2010
ACM
15 years 4 months ago
2010
ACM
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
169
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ICDM
2010
IEEE
15 years 2 months ago
2010
IEEE
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
123
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
125
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JMLR
2002
15 years 3 months ago
2002
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...