97 search results - page 3 / 20 » A probabilistic language based on sampling functions |
107
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JMLR
2012
13 years 3 days ago
2012
This paper proposes a new randomized strategy for adaptive MCMC using Bayesian optimization. This approach applies to nondifferentiable objective functions and trades off explor...
100
Voted
NIPS
2000
14 years 11 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
AI
2009
Springer
15 years 4 months ago
2009
Springer
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
SPIRE
2010
Springer
14 years 8 months ago
2010
Springer
The retrieval of similar documents in the Web from a given document is different in many aspects from information retrieval based on queries generated by regular search engine use...
117
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ESOP
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...