3837 search results - page 171 / 768 » Learning Approximate Consistencies |
239
Voted
ACL
2012
13 years 9 months ago
2012
We introduce a spectral learning algorithm for latent-variable PCFGs (Petrov et al., 2006). Under a separability (singular value) condition, we prove that the method provides cons...
179
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
175
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CEC
2005
IEEE
16 years 19 days ago
2005
IEEE
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...
190
Voted
NN
1997
Springer
15 years 11 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
200
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COLT
1991
Springer
15 years 10 months ago
1991
Springer
Abstract. This paper presents a polynomial-time algorithm for inferring a probabilistic generalization of the class of read-once Boolean formulas over the usual basis {AND,OR,NOT}....