Sökning: "Gaussian process regression"

Visar resultat 1 - 5 av 21 avhandlingar innehållade orden Gaussian process regression.

1. 1. Gaussian process models of social change

   Författare :Björn Rune Helmer Blomqvist; David J. T. Sumpter; Ranjula Bali Swain; Ian Vernon; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Gaussian processes; Bayesian statistics; Dynamical systems; Social sciences; Tillämpad matematik och statistik; Applied Mathematics and Statistics;

   Sammanfattning : Social systems produce complex and nonlinear relationships in the indicator variables that describe them. Traditional statistical regression techniques are commonly used in the social sciences to study such systems. LÄS MER

3. 2. Efficient training of interpretable, non-linear regression models

   Författare :Oskar Allerbo; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; sparse regression; kernel regression; neural network regression; early stopping; bandwidth selection;

   Sammanfattning : Regression, the process of estimating functions from data, comes in many flavors. One of the most commonly used regression models is linear regression, which is computationally efficient and easy to interpret, but lacks in flexibility. LÄS MER

4. 3. Uncertain demand prediction for guaranteed automated vehicle fleet performance

   Författare :Sten Elling Tingstad Jacobsen; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mobility-on-Demand; Travel Demand Uncertainty; Energy Efficiency; Chance Constraint Optimization; Gaussian Process Regression; Stochastic Model Predictive Control; Fleet Opti- mization;

   Sammanfattning : Mobility-on-demand (MoD) services offer a convenient and efficient transportation option, using technology to replace traditional modes. However, the flexibility of MoD services also presents challenges in controlling the system. One of the major issues is supply-demand imbalance, caused by uneven stochastic travel demand. LÄS MER

5. 4. A flexible and polarizable water model built on interpolated multipoles

   Författare :Jonatan Öström; Lars Gunnar Moody Pettersson; Gábor Csányi; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Multipole; Regression; Polarization; Machine Learning; Molecular Dynamics; Water; Theoretical Physics; teoretisk fysik;

   Sammanfattning : Water has a rich phase diagram with regions of meta-stability, the prime examples being super-cooled and super-heated liquid water.Below ca 50 °C, water exhibits unusual and not yet fully explained anomalous thermodynamic properties upon cooling, for example a minimum in compressibility at 46 °C, a minimum in heat capacity at 35 °C, a density maximum at 4 °C, and a compressibility maximum at -44 °C in the supercooled liquid, at ambient pressure. LÄS MER

7. 5. Machine learning with state-space models, Gaussian processes and Monte Carlo methods

   Författare :Andreas Svensson; Thomas B. Schön; Fredrik Lindsten; Carl Edward Rasmussen; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; State-space models; Gaussian processes; Elektroteknik med inriktning mot reglerteknik; Electrical Engineering with specialization in Automatic Control;

   Sammanfattning : Numbers are present everywhere, and when they are collected and recorded we refer to them as data. Machine learning is the science of learning mathematical models from data. Such models, once learned from data, can be used to draw conclusions, understand behavior, predict future evolution, and make decisions. LÄS MER