Found 30 datasets matching "Gaussian process".
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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: 171.00 | 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: 163.39 | 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: 162.98 | Views last month: 0 -
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: 157.39 | 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: 152.78 | 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: 148.60 | 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: 137.65 | Views last month: 0 -
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: 102.60 | Views last month: 0 -
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: 102.59 | 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: 58.95 | Views last month: 0 -
The research done to evaluate how the predictivity of models are effected by error in either the training or the test set is simple to describe conceptually. Benchmark datasets are downloaded from...
Search relevance: 53.60 | 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: 48.85 | 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: 48.41 | Views last month: 0 -
This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods rely on estimating...
Search relevance: 47.38 | Views last month: 0 -
This paper demonstrates how to apply prognostics to power MOSFETs (metal oxide field effect transistor). The methodology uses thermal cycling to age devices and Gaussian process regression to...
Search relevance: 42.53 | Views last month: 10 -
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: 40.68 | Views last month: 0 -
In situations where the cost/benefit analysis of using physics-based damage propagation algorithms is not favorable and when sufficient test data are available that map out the damage space, one...
Search relevance: 37.72 | Views last month: 0 -
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: 37.26 | Views last month: 0 -
We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All Sky Survey using two new training-set...
Search relevance: 36.91 | Views last month: 0
