Results 281 to 290 of about 346,567 (317)

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source

DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts. [PDF]

BMC Bioinformatics
Weng Q, Hu M, Peng G, Zhu J.
europepmc   +1 more source

Radiation image reconstruction and uncertainty quantification using a Gaussian process prior. [PDF]

Sci Rep
Lee J, Joshi TH, Bandstra MS, Gunter DL, Quiter BJ, Cooper RJ, Vetter K.   +6 more
europepmc   +1 more source

A Personalized Dose-Finding Algorithm Based on Adaptive Gaussian Process Regression. [PDF]

Pharm Stat
Park Y, Chang W.
europepmc   +1 more source

Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling. [PDF]

Sci Rep
Kisi O, Heddam S, Parmar KS, Petroselli A, Külls C, Zounemat-Kermani M.   +5 more
europepmc   +1 more source

Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning. [PDF]

Sensors (Basel)
Wu J, Xu R, Huang R, Hong X.
europepmc   +1 more source

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Gaussian process transforms

2016 IEEE International Conference on Image Processing (ICIP), 2016
We introduce the Gaussian Process Transform (GPT), an orthogonal transform for signals defined on a finite but otherwise arbitrary set of points in a Euclidean domain. The GPT is obtained as the Karhunen-Loeve Transform (KLT) of the marginalization of a Gaussian Process defined on the domain.
Philip A. Chou, Ricardo L. de Queiroz
openaire   +1 more source

Quantum gaussian processes

Acta Mathematicae Applicatae Sinica, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Clustering Based on Gaussian Processes

Neural Computation, 2007
In this letter, we develop a gaussian process model for clustering. The variances of predictive values in gaussian processes learned from a training data are shown to comprise an estimate of the support of a probability density function. The constructed variance function is then applied to construct a set of contours that enclose the data points, which
Kim, HC, Lee, J
openaire   +4 more sources