Avancerad sökning

Visar resultat 1 - 5 av 2255 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Regression methods in multidimensional prediction and estimation

   Författare :Anders Björkström; Rolf Sundberg; Philip J Brown; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; regression; prediction; principal compnents regression; ridge regression; partial least squares; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

   Sammanfattning : In regression with near collinear explanatory variables, the least squares predictor has large variance. Ordinary least squares regression (OLSR) often leads to unrealistic regression coefficients. Several regularized regression methods have been proposed as alternatives. 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. Towards Accurate and Reliable Deep Regression Models

   Författare :Fredrik K. Gustafsson; Thomas B. Schön; Martin Danelljan; Søren Hauberg; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Deep Learning; Regression; Probabilistic Models; Energy-Based Models; Uncertainty Estimation; Machine learning; Maskininlärning;

   Sammanfattning : Regression is a fundamental machine learning task with many important applications within computer vision and other domains. In general, it entails predicting continuous targets from given inputs. LÄS MER

5. 4. Monotonic regression for large multivariate datasets

   Författare :Oleg Sysoev; Panos Pardalos; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; Statistik;

   Sammanfattning : Monotonic regression is a non-parametric statistical method that is designed especially for applications in which the expected value of a response variable increases or decreases in one or more explanatory variables. Such applications can be found in business, physics, biology, medicine, signal processing, and other areas. LÄS MER

7. 5. Two Aspects of Automating Logics of Action and Change : Regression and Tractability

   Författare :Marcus Bjäreland; Linköpings universitet; []
   Nyckelord :;

   Sammanfattning : The autonomy of an artificial agent (e.g. a robot) will certainly depend on its ability to perform "intelligent" tasks, such as learning, planning, and reasoning about its own actions and their effects on the enviroment, for example predicting the consequences of its own behaviour. LÄS MER