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We describe new algorithms for training tagging models, as an alternative to maximum-entropy models or conditional random fields (CRFs). The algorithms rely on Viterbi decoding of training examples, combined with simple additive updates. We describe theory justifying the algorithms through a modification of the proof of convergence of the perceptron(More)
The use of computer-aided detection (CAD) with film or digital mammography is now widely regarded as the standard of practice in mammography and has been shown to increase the rate of breast cancer detection. There are inherent limitations in 2D mammography, and new technologies involving 2D and 3D imaging with X-rays, ultrasound, and MRI are in use or(More)
An experimental protocol for the prescriptive fitting of a wearable master hearing aid was evaluated. The protocol consisted of four stages: (i) acquisition of baseline audiometric data, (ii) fixed test battery using speech-in-noise as the test material, (iii) adaptive adjustments, and (iv) evaluative comparative data. The results showed that systematic(More)
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