Results 71 to 80 of about 67,589 (200)

An extension of the basic local independence model to multiple observed classifications

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi   +8 more
wiley   +1 more source

USING RATIONAL NUMBERS AND PARALLEL COMPUTING TO EFFICIENTLY AVOID ROUND-OFF ERRORS ON MAP SIMPLIFICATION

open access: yesRevista Brasileira de Cartografia, 2018
This paper presents EPLSimp, an algorithm for map generalization that avoids the creation of topological inconsistencies. EPLSimp is based on Visvalingam-Whyatt's (VW) algorithm on which least "important" points are removed first.
Maurício G. Gruppi   +4 more
doaj  

Extended precision software packages [PDF]

open access: yes
A description of three extended precision packages is presented along with three small conversion subroutines which can be used in conjunction with the extended precision packages. These extended packages represent software packages written in FORTRAN 4.
Phillips, E. J.
core   +1 more source

Development and verification of arbitrary-precision integer arithmetic libraries

open access: yes, 2020
Arbitrary-precision integer arithmetic algorithms are used in contexts where both their performance and their correctness are critical, such as cryptographic software or computer algebra systems. GMP is a very widely-used arbitrary-precision integer arithmetic library.
openaire   +2 more sources

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

Splatshop: Efficiently Editing Large Gaussian Splat Models

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz   +5 more
wiley   +1 more source

Computational Complexity of Iterated Maps on the Interval (Extended Abstract)

open access: yes, 2010
The exact computation of orbits of discrete dynamical systems on the interval is considered. Therefore, a multiple-precision floating point approach based on error analysis is chosen and a general algorithm is presented.
Anatole Katok   +19 more
core   +2 more sources

Real‐Time Conformal Maps and Parameterizations

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
wiley   +1 more source

Homomorphic ReLU with Full-Domain Bootstrapping

open access: yesCryptography
Fully homomorphic encryption (FHE) offers a promising solution for privacy-preserving machine learning by enabling arbitrary computations on encrypted data.
Yuqun Lin   +7 more
doaj   +1 more source

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