3449 search results - page 447 / 690 » A Framework for Multiple-Instance Learning |
156
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DAGSTUHL
2006
15 years 8 months ago
2006
We present and relate recent results in prediction based on countable classes of either probability (semi-)distributions or base predictors. Learning by Bayes, MDL, and stochastic ...
125
Voted
NIPS
2004
15 years 8 months ago
2004
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
204
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UAI
2001
15 years 8 months ago
2001
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
166
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COLING
2000
15 years 8 months ago
2000
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
179
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NIPS
1998
15 years 8 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...