Learning versus optimal intervention in random Boolean networks
Sign Up to like & getrecommendations! Published in 2019 at "Applied Network Science"
DOI: 10.1007/s41109-019-0243-z
Abstract: Random Boolean Networks (RBNs) are an arguably simple model which can be used to express rather complex behaviour, and have been applied in various domains. RBNs may be controlled using rule-based machine learning, specifically through… read more here.
Keywords: learning versus; random boolean; versus optimal; boolean networks ... See more keywords
MACHINE LEARNING VERSUS TRADITIONAL RISK STRATIFICATION METHODS IN ACUTE CORONARY SYNDROME: A POOLED RANDOMIZED CLINICAL TRIAL ANALYSIS
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(19)30866-6
Abstract: Traditional prediction models allow population based inferences. Machine learning explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that account for higher order interactions to make individualized outcome… read more here.
Keywords: traditional risk; machine; learning versus; versus traditional ... See more keywords
A plant–pollinator system: How learning versus cost-benefit can induce periodic oscillations
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Biomathematics"
DOI: 10.1142/s1793524518500249
Abstract: In this paper, we propose a model describing the interaction between two species: a plant population that gets pollinated by an insect population. We assume the plant population is divided into two... read more here.
Keywords: learning versus; plant; versus cost; plant pollinator ... See more keywords