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These two models provide a smoother transition between acoustic models.
models provide a significant reduction in WER for reverberant environments.
Connectionist models provide a new paradigm for understanding how information might be represented in the brain.
These models provide a very precise description of the players' hard and soft informational attitudes.
Preferred models provide a general way to induce a nonmonotonic consequence relation.
models provide a better performance in non-reverberant environments, whereas Multi-cond.
Thirdly, the spatial models provide a better data fit than do the traditional models.
Actually most of patellofemoral implants are resurfacing prostheses and only few models provide a real replacement.
In the recognition process, the acoustic models provide a number of hypotheses as output.
Component models provide a structured programming paradigm, and ensure a very good re-usability of programs.
Regression models provide a powerful tool for investigation of relationships between variables.
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