Titlebook: Rural Caregiving in the United States; Research, Practice, Ronda C. Talley,Kathleen Chwalisz,Kathleen C. Buck Book 2011 Springer Science+B

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tial) practical algorithms, to seek improvements in terms of memory and computational speed, and also to cope with slowly varying unknown HMM parameters. This leads inevitably into suboptimal schemes, which are quite difficult to analyze, but the reward is practicality for engineering applications.

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Ronda C. Talley Ph.D., MPH,Kathleen Chwalisz Ph.D.,Kathleen C. Buckwalter Ph.D., RN, FAANerformance of the HMM by determining its rate of concordance with human observation. We found that sniffing behavior was segmented well by the HMM; however, following behavior was not segmented well by the HMM in terms of percentage concordance. We also developed software called DuoMouse, an automat

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otein classification. The major advantage of the proposed variations is that we employed a small number of states and the algorithms used for training and scoring are of low complexity and thus relatively fast. The main variations examined include a version of the reduced state-space HMM with seven

ARK

Family Caregiving: Implications for Rural Practice, Policy, Education, and Research

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refraction