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128
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NIPS
2003
15 years 5 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
270
Voted
ACL
1998
15 years 5 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
129
Voted
NAACL
2010
15 years 1 months ago
Improved Extraction Assessment through Better Language Models
A variety of information extraction techniques rely on the fact that instances of the same relation are "distributionally similar," in that they tend to appear in simila...
Arun Ahuja, Doug Downey
105
Voted
SLS
2007
Springer
111views Algorithms» more  SLS 2007»
15 years 9 months ago
Mixed Models for the Analysis of Local Search Components
We consider a possible scenario of experimental analysis on heuristics for optimization: identifying the contribution of local search components when algorithms are evaluated on th...
Jørgen Bang-Jensen, Marco Chiarandini, Yuri...
WSC
2007
15 years 6 months ago
Simulation metamodels for modeling output distribution parameters
Metamodels are functions with calibrated parameters, used actions and simplifications of the simulation model. A metamodel exposes the system’s input-output relationship and ca...
Isabel R. Santos, Pedro R. Santos