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Found 4 papers, 1 papers with code
A Transfer Learning Approach to Minimize Reinforcement Learning Risks in Energy Optimization for Smart Buildings
Energy optimization leveraging artificially intelligent algorithms has been proven effective.
Autonomic Architecture for Big Data Performance Optimization
This paper presents KERMIT - the autonomic architecture for big data capable of automatically tuning Apache Spark and Hadoop on-line, and achieving performance results 30% faster than rule-of-thumb tuning by a human administrator and up to 92% as fast as the fastest possible tuning established by performing an exhaustive search of the tuning parameter space.
B-SMART: A Reference Architecture for Artificially Intelligent Autonomic Smart Buildings
The pervasive application of artificial intelligence and machine learning algorithms is transforming many industries and aspects of the human experience.
Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
Here we present a non-parametric framework for inferring the Langevin equation, which explicitly models the stochastic observation process and non-stationary latent dynamics.
