This information was identified by inspecting the specification of architecture models and adaptation strategies.
In short, hierarchical inference, using prediction error, provides a principled framework in which the model adjustment and adaptation heuristics become necessary for sensory inference.
Specifically, we present models for autonomous color calibration, autonomous sensor and actuator modeling, and an adaptation of particle filtering for improved localization on legged robots.
In this paper, we introduced an ensemble model combination and adaptation based ASR system with two characteristics: (1) large-scale combination of multiple ASR systems based on a Recognizer Output Voting Error Reduction (ROVER) system, and (2) multi-pass unsupervised speaker adaptation for deep neural network acoustic models and topic adaptation on language model.
The evidence indicates that the HighScope Curriculum Reform Programme is currently at various stages of model implementation and adaptation, owing to the multiple contexts in which the programme has been implemented.
In Figure8, the p-values are given as: p<0.01 for 1 5 adaptation sentences between the probabilistic 2-mode based model and MLLR adaptation, p<0.05 for 2 5 adaptation sentences between the probabilistic 2-mode based model and MAPLR adaptation.
Furthermore, maximum a posteriori (MAP) approach adaptation was employed to train the individual speaker models, and this adaptation was initialized by the UBM and then coupled with the training data for each speaker.
Dynamic model partition and adaptation-based load balancing solutions have been designed by exploiting common assumptions and model characteristics, in a user-transparent way.
After the necessary modeling, computation, verification and adaptation stages comparatively better hydrographs are obtained by FCM.
