Results 131 to 140 of about 3,872,829 (369)

Inversion of the Bladder [PDF]

open access: yesThe American Journal of the Medical Sciences, 1878
n ...
openaire   +2 more sources

Active Inverse Reward Design

open access: yes, 2019
Designers of AI agents often iterate on the reward function in a trial-and-error process until they get the desired behavior, but this only guarantees good behavior in the training environment.
Gleave, Adam   +3 more
core  

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source

Some properties of the generalized max Frank matrices

open access: yesAIMS Mathematics
In this paper, we introduce a new generalization of the Frank matrix, which is a lower Hessenberg matrix called the generalized max -Frank matrix. We obtain a recurrence relation provided by the characteristic polynomial, inverse, determinant, and norm
Hasan Gökbaş
doaj   +1 more source

Convexity of the inverse and Moore–Penrose inverse

open access: yesLinear Algebra and its Applications, 2011
AbstractConvexity properties of the inverse of positive definite matrices and the Moore–Penrose inverse of nonnegative definite matrices with respect to the partial ordering induced by nonnegative definiteness are studied. For the positive definite case null-space characterizations are derived, and lead naturally to a concept of strong convexity of a ...
openaire   +2 more sources

Home - About - Disclaimer - Privacy