Digital twin for the oil and gas industry: Overview, research trends, opportunities, and challenges
TR Wanasinghe, L Wroblewski, BK Petersen… - IEEE …, 2020 - ieeexplore.ieee.org
With the emergence of industry 4.0, the oil and gas (O&G) industry is now considering a
range of digital technologies to enhance productivity, efficiency, and safety of their operations …
range of digital technologies to enhance productivity, efficiency, and safety of their operations …
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Discovering the underlying mathematical expressions describing a dataset is a core challenge
for artificial intelligence. This is the problem of $\textit{symbolic regression}$. Despite …
for artificial intelligence. This is the problem of $\textit{symbolic regression}$. Despite …
Discovering symbolic policies with deep reinforcement learning
… Thus, we adopt the risk-seeking policy gradient by Petersen et al. (2021), a modified policy
gradient that optimizes for best-case performance. Specifically, the objective function is given …
gradient that optimizes for best-case performance. Specifically, the objective function is given …
A unified framework for deep symbolic regression
…, G Mulcahy, BK Petersen - Advances in …, 2022 - proceedings.neurips.cc
… For DSR, we begin with the method proposed by Petersen et al. (2021a), including two
improvements to exploration (soft length prior and hierarchical entropy regularizer) introduced in …
improvements to exploration (soft length prior and hierarchical entropy regularizer) introduced in …
Exploding the myth of the symmetrical/asymmetrical dichotomy: Public relations models in the new South Africa
DR Holtzhausen, BK Petersen… - Journal of Public …, 2003 - Taylor & Francis
An empirical study of practitioners in the newSouth Africa found no evidence that respondents
grouped public relations practices according to principles of symmetry or asymmetry, thus …
grouped public relations practices according to principles of symmetry or asymmetry, thus …
Symbolic regression via neural-guided genetic programming population seeding
Symbolic regression is the process of identifying mathematical expressions that fit observed
output from a black-box process. It is a discrete optimization problem generally believed to …
output from a black-box process. It is a discrete optimization problem generally believed to …
Symbolic regression via deep reinforcement learning enhanced genetic programming seeding
…, R Glatt, CP Santiago, BK Petersen - Advances in …, 2021 - proceedings.neurips.cc
Symbolic regression is the process of identifying mathematical expressions that fit observed
output from a black-box process. It is a discrete optimization problem generally believed to …
output from a black-box process. It is a discrete optimization problem generally believed to …
Deep reinforcement learning and simulation as a path toward precision medicine
Traditionally, precision medicine involves classifying patients to identify subpopulations that
respond favorably to specific therapeutics. We pose precision medicine as a dynamic …
respond favorably to specific therapeutics. We pose precision medicine as a dynamic …
The Danish pig health scheme: Nation-wide computer-based abattoir surveillance and follow-up at the herd level
P Willeberg, MA Gerbola, BK Petersen… - Preventive Veterinary …, 1984 - Elsevier
In 1978 an agreement was made among the Danish authorities, the slaughterhouse
association and the pig produces to develop and operate a national swine herd health scheme …
association and the pig produces to develop and operate a national swine herd health scheme …
CEO perceptions of investor relations as a public relations function: An exploratory study
BK Petersen, HJ Martin - Journal of Public Relations Research, 1996 - Taylor & Francis
An exploratory study of chief executive officers (CEOs) in Florida nonbanking public
companies found that top executives do not perceive investor relations to be part of the public …
companies found that top executives do not perceive investor relations to be part of the public …