KSL-93-20 + redirect page
Sleep Apnea Forecasting with Dynamic Network Models + Has identifier
Sleep Apnea Forecasting with Dynamic Network Models + Ksl tr id
Sleep Apnea Forecasting with Dynamic Network Models + Number
| Sleep Apnea Forecasting with Dynamic Network Models |
Bibtype
techreport
Has publishing details
1993
Has title
Sleep Apnea Forecasting with Dynamic Network Models
Has where published
KSL-93-20
Has year
1993
Title
Sleep Apnea Forecasting with Dynamic Network Models
Year
1993
Abstract
Dynamic network models (DNMs) are belief n … Dynamic network models (DNMs) are belief networks for temporal reasoning. The DNM methodology combines techniques from time-series analysis and probabilistic reasoning to provide (1) a knowledge representation that integrates noncontemporaneous and contemporaneous dependencies and (2) methods for iteratively refining these dependencies in response to the effects of exogenous influences. We use belief-network inference algorithms to perform forecasting, control, and discrete-event simulation on DNMs. The belief-network formulation allows us to move beyond the traditional assumptions of linearity in the relationships among time-dependent variables and of normality in their probability distributions. We demonstrate the DNM methodology on an important forecasting problem in medicine. We conclude with a discussion of how the methodology addresses several limitations found in traditional time-series analyses. found in traditional time-series analyses.
Note
Updated May 1993.
Address
Washington, D.C +
Author
Paul Dagum and Adam Galper +
Has author
Paul Dagum and Adam Galper +
Has identifier
Sleep Apnea Forecasting with Dynamic Network Models +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Sleep Apnea Forecasting with Dynamic Network Models +
Number
Sleep Apnea Forecasting with Dynamic Network Models +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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