Results 111 to 120 of about 35,691 (191)
Irrational behavior in the Brown-von Neumann-Nash dynamics [PDF]
We present a class of games with a pure strategy being strictly dominated by another pure strategy such that the former survives along most solutions of the Brown-von Neumann-Nash dynamics.Nash map, BNN dynamics, Dominated ...
Josef Hofbauer, Ulrich Berger
core
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Computer vision tasks are difficult because of the large variability in the data that is induced by changes in light, background, partial occlusion as well as the varying pose, texture, and shape of objects. Generative approaches to computer vision allow
Kortylewski, Adam +6 more
core
This research aims to see how employees' careers develop at the Gorontalo City Narcotics Agency. The research method used in this research is a descriptive qualitative method. The data used is primary data obtained from interviews with 3 informants. Data analysis in this research uses an interactive model, namely data obtained from interviews, field ...
null Robiyati Podungge +2 more
openaire +1 more source
Microgrids (MGs) and energy communities have been widely implemented, leading to the participation of multiple stakeholders in distribution networks. Insufficient information infrastructure, particularly in rural distribution networks, is leading to a ...
Hira Anum +7 more
doaj +1 more source
STRATEGI MANAJEMEN HUMAS BNN DALAM PENANGGULANGAN PENYALAHGUNAAN NARKOTIKA
STRATEGI MANAJEMEN HUMAS BNN DALAM PENANGGULANGAN PENYALAHGUNAAN ...
openaire +1 more source
Hybrid deep learning and RSM modeling of diesel engine performance using TiO<sub>2</sub> doped butanol and waste plastic oil blends. [PDF]
Sunil Kumar K +6 more
europepmc +1 more source
Fingerprint-Based Machine Learning for SARS-CoV-2 and MERS-CoV <i>M</i><sup><i>pro</i></sup> Inhibition: Highlighting the Potential of Bayesian Neural Networks. [PDF]
Doering NP +3 more
europepmc +1 more source
A big data approach to artificial intelligence driven predictive modelling for optimizing material properties in additive manufacturing. [PDF]
Li W +8 more
europepmc +1 more source
Rad-Bnn: Regulating Activation Distribution for Accurate Binary Neural Network
Mingyu Yuan, Songwei Pei
openaire +1 more source

