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Evidence is accumulating that interpretations can be trained using Cognitive Bias Modification procedures (CBM).
We show that models can be trained using a worker's first few submissions to predict their performance in the future.
These outcomes demonstrate that, like rodents, M. murinus can be trained using operant conditioning in an automated olfactometer.
This paper proposes a methodology for developing multi-site damage location systems for engineering structures that can be trained using single-site damaged state data only.
While neural networks that can be trained using small data sets are not a reality yet, research is already being done on making algorithms smaller without losing accuracy, Bill Dally, chief scientist at Nvidia, said at the conference.
To overcome these drawbacks, we have designed generalized decision trees, which can be trained using a medium-size corpus over groups of similar words to share information on pronunciation, instead of training a separate tree for every single word.
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Procedural tasks can best be trained using a stepwise approach, with the therapist modeling each step and providing verbal cues to guide the patient.
Thus, the model can be trained by using the prepared training set.
Normal rule class, a set of false alert classification rules, can be trained by using sequential pattern mining approach in an attack-free environment.
Most tools can be trained by using the desired training sets.
In addition, the parameters of HMMs can be trained by using experimentally verified data.
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