Training set and cross validation errors of the ten best models inferred through the informative force-motion data obtained from the finger extensor mechanism.
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Five independent inference processes are executed to infer the finger extensor mechanism. The mean training set and cross validation errors for the 10 selected models are 5.6% and 6.8%. The corresponding models are all functionally equivalent even though differing from each other in topology and parameter values.
创建时间：
2012-11-08
