2 search results - page 1 / 1 » Posterior Consistency of the Silverman g-prior in Bayesian M... |
80
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NIPS
2008
15 years 10 days ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
107
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NIPS
1992
15 years 2 days ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...