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ACL
2011
14 years 3 months ago
Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results
A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beli...
Roger Levy
IQ
2007
15 years 1 months ago
Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
Irit Askira Gelman
ECCV
2004
Springer
16 years 1 months ago
Modeling and Synthesis of Facial Motion Driven by Speech
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...
Payam Saisan, Alessandro Bissacco, Alessandro Chiu...
NIPS
2001
15 years 1 months ago
A Maximum-Likelihood Approach to Modeling Multisensory Enhancement
The deep layers of the superior colliculus (DSC) integrate multisensory input and initiate an orienting response toward the source of stimulation. Multisensory response enhancemen...
H. Colonius, A. Diederich
WSC
2004
15 years 1 months ago
Bayesian Methods for Discrete Event Simulation
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
Stephen E. Chick