Sökning: "Kernel estimation features"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Kernel estimation features.

1. 1. Multiple Kernel Imputation : A Locally Balanced Real Donor Method

   Författare :Nicklas Pettersson; Daniel Thorburn; Susanne Rässler; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian Bootstrap; Boundary Effects; External Information; Kernel estimation features; Local Balancing; Pólya Sampling; statistik; Statistics;

   Sammanfattning : We present an algorithm for imputation of incomplete datasets based on Bayesian exchangeability through Pólya sampling. Each (donee) unit with a missing value is imputed multiple times by observed (real) values on units from a donor pool. The donor pools are constructed using auxiliary variables. LÄS MER

3. 2. Simulation and Estimation of Diffusion Processes : Applications in Finance

   Författare :Carl Åkerlindh; Finansiell matematik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Diffusion processes; Kalman filter; Uncented Kalman filter; EM algorithm; Kernel estimation; Bandwidth selection; Multilevel Monte Carlo; Simulated maximum likelihood estimation; Julia language;

   Sammanfattning : Diffusion processes are the most commonly used models in mathematical finance, and are used extensively not only by academics but also practitioners. Nowadays a wide range of models, that can capture many of the effects observed in financial markets, are available. LÄS MER

4. 3. Probabilistic Sequence Models with Speech and Language Applications

   Författare :Gustav Eje Henter; W. Bastiaan Kleijn; Arne Leijon; Gernot Kubin; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time series; acoustic modelling; speech synthesis; stochastic processes; causal-state splitting reconstruction; robust causal states; pattern discovery; Markov models; HMMs; nonparametric models; Gaussian processes; Gaussian process dynamical models; nonlinear Kalman filters; information theory; minimum entropy rate simplification; kernel density estimation; time-series bootstrap;

   Sammanfattning : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. LÄS MER

5. 4. Learning to Assess Grasp Stability from Vision, Touch and Proprioception

   Författare :Yasemin Bekiroglu; Danica Kragic; Erhan Oztop; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Robotic grasping; Machine Learning; Tactile Sensing;

   Sammanfattning : Grasping and manipulation of objects is an integral part of a robot’s physical interaction with the environment. In order to cope with real-world situations, sensor based grasping of objects and grasp stability estimation is an important skill. LÄS MER

7. 5. Learning Representations for Segmentation and Registration

   Författare :Felix Järemo Lawin; Per-Erik Forssén; Michael Felsberg; Radu Patrice Horaud; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Vision; point set registration; video object segmentation; time-of-flight; point set segmentation; deep learning; expectation maximization;

   Sammanfattning : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. LÄS MER