Results 21 to 30 of about 1,930,208 (286)
Improving Orbit Estimates for Incomplete Orbits with a New Approach to Priors -- with Applications from Black Holes to Planets [PDF]
, 2019 We propose a new approach to Bayesian prior probability distributions (priors) that can improve orbital solutions for low-phase-coverage orbits, where data cover less than approximately 40% of an orbit.
Becklin, E. E. +11 more
core +6 more sources
Metals, 2022 Large-heat-input welding can effectively increase the efficiency and reduce the cost of manufacturing a super-large container ship for marine trade worldwide with thick, high-strength low-alloy (HSLA) steel plates; however, it significantly degrades the ...
Yinhui Zhang +4 more
doaj +1 more source
Observational entropy with general quantum priors [PDF]
QuantumObservational entropy captures both the intrinsic uncertainty of a thermodynamic state and the lack of knowledge due to coarse-graining. We demonstrate two interpretations of observational entropy, one as the statistical deficiency resulting from a ...
Ge Bai +4 more
doaj +1 more source
Uniform Priors for Data-Efficient Transfer
, 2020 Deep Neural Networks have shown great promise on a variety of downstream applications; but their ability to adapt and generalize to new data and tasks remains a challenge. However, the ability to perform few or zero-shot adaptation to novel tasks is important for the scalability and deployment of machine learning models.
Sinha, Samarth +5 more
openaire +2 more sources
PENDUGAAN PARAMETER DARI DISTRIBUSI GEOMETRIK DENGAN METODE BAYES
Jurnal Matematika UNAND, 2019 Pendugaan parameter adalah prosedur yang dilakukan untuk menduga parameter populasi dimana parameter tersebut merupakan sebarang nilai yang menjelaskan ciri dari suatu populasi.
SUMINDANG YUZAN +2 more
doaj +1 more source
Remote Sensing, 2022 When observing the Earth from space, the synthetic aperture radiometer antenna array is sometimes set as a non-uniform array. In non-uniform synthetic aperture radiometer image reconstruction, the existing brightness temperature image reconstruction ...
Chengwang Xiao +8 more
doaj +1 more source
A generalized characterization of algorithmic probability [PDF]
, 2016 An a priori semimeasure (also known as "algorithmic probability" or "the Solomonoff prior" in the context of inductive inference) is defined as the transformation, by a given universal monotone Turing machine, of the uniform measure on the infinite ...
Sterkenburg, Tom F.
core +4 more sources
Journal of Advances in Modeling Earth Systems, 2020 This paper introduces for the first time the concept of Bayesian model averaging (BMA) with multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model proposed by Raftery et al.
S. Samadi +3 more
doaj +1 more source
Self-Supervised Remote Sensing Image Dehazing Network Based on Zero-Shot Learning
Remote Sensing, 2023 Traditional dehazing approaches that rely on prior knowledge exhibit limited efficacy when confronted with the intricacies of real-world hazy environments.
Jianchong Wei +4 more
doaj +1 more source
Impact of nonlinearity on changing the a priori of trace gas profile estimates from the Tropospheric Emission Spectrometer (TES) [PDF]
Atmospheric Chemistry and Physics, 2008 Non-linear maximum a posteriori (MAP) estimates of atmospheric profiles from the Tropospheric Emission Spectrometer (TES) contains a priori information that may vary geographically, which is a confounding factor in the analysis and physical ...
S. S. Kulawik +4 more
doaj