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Pattern recognition (PR) based myoelectric hand control has become a research focus in the field of rehabilitative engineer and intelligent control. However, the state of the art method is hardly adopted for clinical use because of signal interfered by shift, fatigue and user-unfriendly of retraining. The aim of this study is to evaluate the performance of different kinds of online algorithms in classifying...
The pool-based active learning intends to collect the samples into the pool firstly, and selects the best informative sample from it which has no label to add into the training sets for updating the classifier secondly. This paper proposed a new method based on the incremental decision tree algorithm to measure the ambiguity of the unlabeled samples for the sample selection in the active learning.
One difficulty of automated test case generation is to deal with compositional units that brings in compositional space explosion of program states. We present a new dynamic execution framework which analyzes program behaviors dynamically for automatic test inputs generation. We utilize forward slicing to explore those functions affecting conditional predicates in program under test.The functions...
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