Results 41 to 50 of about 11,878,887 (322)
Count data can be analyzed using generalized linear mixed models when observations are correlated in ways that require random effects. However, count data are often zero-inflated, containing more zeros than would be expected from the typical error ...
Mollie E. Brooks +8 more
semanticscholar +1 more source
On Linear Combinations of Harmonic Mappings Convex in the Horizontal Direction
The process of creating univalent harmonic mappings which are not analytic is not simple or straightforward. One efficient method for constructing desired univalent harmonic maps is by taking the linear combination of two suitable harmonic maps. In this
Elif Yaşar
doaj +1 more source
In this work, we addressed the issue of combining linear classifiers using their score functions. The value of the scoring function depends on the distance from the decision boundary.
AH Ko +26 more
core +1 more source
Renewable energy will play a crucial role in the future society of the 21st century. In this way, solar energy, which can be converted into usable energy by solar panels, is known as the most important, accessible and cleanest energy source which has ...
M. Zoghi +4 more
semanticscholar +1 more source
Hyper-frequency extra-wide-lane RTK over long baselines: models, advantages, and performances
Extra-wide-lane real-time kinematic (ERTK) is a technique that makes full use of extra-wide-lane (EWL) observations to realize instantaneous precise positioning.
Bofeng Li +3 more
doaj +1 more source
Laws of inertia in higher degree binary forms [PDF]
We consider representations of real forms of even degree as a linear combination of powers of real linear forms, counting the number of positive and negative coefficients.
Bruce Reznick, Communicated Ken Ono
core +4 more sources
Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination
In this paper, we propose two novel multi-dimensional tensor sparse coding (MDTSC) schemes using the t-linear combination. Based on the t-linear combination, the shifted versions of the bases are used for the data approximation, but without need to ...
Fei Jiang +3 more
semanticscholar +1 more source
GNSS is now being speedily expanded to our daily life, but the positioning precision still can hardly meet the demands of many high-precision applications, such as approaching landing system on airports.
Yaoding Wang +4 more
doaj +1 more source
Expected Supremum of a Random Linear Combination of Shifted Kernels
We address the expected supremum of a linear combination of shifts of the sinc kernel with random coefficients. When the coefficients are Gaussian, the expected supremum is of order \sqrt{\log n}, where n is the number of shifts.
B. Kashin +9 more
core +3 more sources
Linear combinations of hypernormal operators
It is well known that if every operator in the linear span of two normal operators \(N_ 1\) and \(N_ 2\) is normal, then \(N_ 1\) and \(N_ 2\) commute. In this paper, the authors consider this question for hyponormal operators. They give an example of two noncommuting hyponormal operators such that their span consists entirely of hyponormal operators ...
Conway, J.B., Szymanski, W.
openaire +3 more sources

