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We investigate how knowledge acquired by a neural network from one input environment can be transferred and revised for similar application in a new environment. Knowledge revision is achieved by re-training the neural network. Knowledge common to both environments are retained, while localized knowledge components are introduced during network retraining.(More)
OBJECTIVES Tuberculosis (TB) was a major cause of morbidity and mortality in Canada early in the 20th century. Elderly populations in Canada remain at high risk for TB disease. Elderly patients may present atypically, with the result that many active cases can remain undiagnosed. We present an outbreak of TB that occurred in a Residential and Long-Term Care(More)
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