Results 31 to 40 of about 1,561,006 (268)
IEEE Access, 2020 In-memory computing (IMC) is a promising approach for energy cost reduction due to data movement between memory and processor for running data-intensive deep learning applications on the computing systems.
Gobinda Saha +5 more
doaj +1 more source
Spatio-Temporal Variational Gaussian Processes [PDF]
CoRR, 2021 Peer ...
Hamelijnck, Oliver +4 more
openaire +4 more sources
IEEE Access, 2020 A novel active resistor circuit offering less sensitivity to process and temperature variations without any extra trimming is proposed. The circuit consists of two accurately matched, high resistance polysilicon (hripoly) resistors and a voltage ...
Vilem Kledrowetz +3 more
doaj +1 more source
Stein Variational Gaussian Processes [PDF]
CoRR, 2020 We show how to use Stein variational gradient descent (SVGD) to carry out inference in Gaussian process (GP) models with non-Gaussian likelihoods and large data volumes. Markov chain Monte Carlo (MCMC) is extremely computationally intensive for these situations, but the parametric assumptions required for efficient variational inference (VI) result in ...
Thomas Pinder +2 more
openaire +2 more sources
Regular variation of GARCH processes [PDF]
Stochastic Processes and their Applications, 2002 We show that the finite-dimensional distributions of a GARCH process are regularly varying, i.e., the tails of these distributions are Pareto-like and hence heavy-tailed. Regular variation of the joint distributions provides insight into the moment properties of the process as well as the dependence structure between neighboring observations when both ...
Basrak, Bojan +2 more
openaire +3 more sources
A Strategy to Assess Quality Consistency of Drug Products
Frontiers in Chemistry, 2019 Herein, we aimed to develop a strategy to assess quality consistency of a drug product, with a focus on two typical cases of injection. Multi-variable analysis using a sequencing combination of factor analysis, one-way analysis of variance and cluster ...
Shu Y. Qi +4 more
doaj +1 more source
An Evolutionary Process Without Variation and Selection [PDF]
Journal of The Royal Society Interface, 2020 ABSTRACT Natural selection successfully explains how organisms accumulate adaptive change despite that traits acquired over a lifetime are eliminated at the end of each generation. However, in some domains that exhibit cumulative, adaptive change—e.g., cultural evolution, and earliest life—acquired traits are retained; these domains do ...
Liane Gabora, Mike Steel
openaire +5 more sources
Variational sums for additive processes [PDF]
Proceedings of the American Mathematical Society, 1976 Let X ( t ) , 0
Hudson, William N., Mason, J. David
openaire +2 more sources
An In-Memory-Computing Binary Neural Network Architecture With In-Memory Batch Normalization
IEEE AccessThis paper describes an in-memory computing architecture that combines full-precision computation for the first and last layers of a neural network while employing binary weights and input activations for the intermediate layers.
Prathamesh Prashant Rege +4 more
doaj +1 more source
Cogent Engineering, 2023 The need for improved productivity without sacrificing quality, which is in line the prime target of many manufacturing industries. The aim of this study is to investigate the causes of production variation: a case study of the rail manufacturing ...
Ilesanmi Daniyan +4 more
doaj +1 more source