Found 242 datasets matching "Gaussian".
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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...
Search relevance: 128.49 | Views last month: 0 -
This code supports the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." The code is used to fit Gaussian process models to...
Search relevance: 104.21 | Views last month: 0 -
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: 102.07 | 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: 100.98 | 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: 97.97 | Views last month: 0 -
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...
Search relevance: 97.06 | Views last month: 0 -
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS VARUN CHANDOLA* AND RANGA RAJU VATSAVAI* Abstract. Biomass monitoring, specifically, detecting changes in...
Search relevance: 90.49 | Views last month: 0 -
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: 86.81 | Views last month: 0 -
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: 85.68 | Views last month: 0 -
Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited thermal noise, i.e.,...
Search relevance: 64.43 | Views last month: 14 -
This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans...
Search relevance: 63.95 | 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: 63.71 | Views last month: 1 -
Distributed prognostics architecture design is an enabling step for efficient implementation of health management systems. A major challenge encountered in such design is formulation of optimal...
Search relevance: 59.05 | Views last month: 0 -
Two papers submitted (and accepted) to the 2021 American Control Conference (ACC), both focused on different attributes of kite control in variable flow environments. Siddiqui et. al. focuses on...
Search relevance: 51.02 | 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: 45.90 | Views last month: 0 -
This dataset contains turbine- and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs...
Search relevance: 43.10 | Views last month: 10 -
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...
Search relevance: 35.46 | Views last month: 0 -
This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting control-based techniques to maximize effectiveness of a...
Search relevance: 35.23 | 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...
Search relevance: 35.11 | Views last month: 0
