Found 17 datasets matching "Gaussian processes".
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SPATIALLY ADAPTIVE SEMI-SUPERVISED LEARNING WITH GAUSSIAN PROCESSES FOR HYPERSPECTRAL DATA ANALYSIS GOO JUN * AND JOYDEEP GHOSH* Abstract. A semi-supervised learning algorithm for the...
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One of the key problems that arises in many areas is to estimate a potentially nonlinear function [tex] G(x, \theta)[/tex] given input and output samples [tex] ( X,y ) [/tex] so that [tex]y approx...
Search relevance: 118.67 | Views last month: 0 -
We present a novel and general methodology for modeling time-varying vector autoregressive processes which are widely used in many areas such as modeling of chemical processes, mobile...
Search relevance: 66.71 | Views last month: 0 -
Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian...
Search relevance: 59.52 | Views last month: 1 -
Block GP is a Gaussian Process regression framework for multimodal data, that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression algorithms. The...
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Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process regression is a popular...
Search relevance: 55.80 | Views last month: 0 -
The use of Gaussian processes can be an effective approach to prediction in a supervised learning environment. For large data sets, the standard Gaussian process approach requires solving very...
Search relevance: 54.01 | Views last month: 0 -
contains hourly ozone and meteorological data. This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Alternating Gaussian process modulated renewal...
Search relevance: 51.97 | Views last month: 0 -
Expanding upon the work of Way & Srivastava (2006) we demonstrate how the use of training sets of comparable size continue to make Gaussian Process Regression a competitive approach to that of...
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In the last decade alpha-stable distributions have become a standard model for impulsive data. Especially the linear symmetric alpha-stable processes have found applications in various fields....
Search relevance: 49.20 | Views last month: 0 -
This data release contains spectra used to evaluate narrow-band shortwave infrared indices suitable for measurement of non-photosynthetic vegetation (NPV). The original data were collected using a...
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Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algorithms such as...
Search relevance: 41.45 | Views last month: 0 -
This data release Child Item contains groundwater elevation data and the associated model/code used to create groundwater elevation surfaces in and around the Poso Creek Oil Field. The data and...
Search relevance: 40.18 | Views last month: 0 -
This data release Child Item contains groundwater elevation data and the associated model/code used to create groundwater elevation surfaces in and around the Lost Hills and Belridge Oil Fields....
Search relevance: 38.75 | Views last month: 0 -
This data release contains groundwater elevation data and the associated model/code used to create groundwater elevation surfaces in and around select oil fields in California. The data and model...
Search relevance: 38.33 | Views last month: 0 -
This data release Child Item contains groundwater elevation data and the associated model/code used to create groundwater elevation surfaces in and around the Elk Hills and North Coles Levee Oil...
Search relevance: 35.25 | Views last month: 0
