Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments.
Sarah E. MarzenJames P. CrutchfieldPublished in: CoRR (2017)
Keyphrases
- semi markov
- prediction accuracy
- conditional random fields
- sensor networks
- drug design
- load forecasting
- physical world
- three dimensional
- bayesian networks
- protein function prediction
- sensor data
- power consumption
- prediction model
- multi channel
- protein structure prediction
- multi sensor
- dynamic environments
- numerical solution
- drug discovery
- prediction error
- real time
- uncertain data
- energy dissipation
- everyday objects