Sökning: "approximation approach"
Visar resultat 1 - 5 av 157 uppsatser innehållade orden approximation approach.
1. Feature Selection for Microarray Data via Stochastic Approximation
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER
2. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. LÄS MER
3. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty
Master-uppsats, KTH/Matematisk statistikSammanfattning : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. LÄS MER
4. Effects of Ultrafast Ionization in X-ray Coherent Diffraction Imaging
Master-uppsats, KTH/KemiSammanfattning : Koherent Diffraktionsavbildning med en intensiv röntgenpuls från en Frielektronlaser har möjliggjort strukturbestämning av isolerade nanopartiklar som inte går att studera med hjälp av konventionella metoder, så som elektronmikroskopi. En mycket kort pulslängd tillsammans med spridningssignalens beroende av objektets elektroniska struktur medför också möjligheten att studera inducerad ultrasnabb dynamik med denna teknik. LÄS MER
5. Randomized Diagonal Estimation
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : Implicit diagonal estimation is a long-standing problem that is concerned with approximating the diagonal of a matrix that can only be accessed through matrix-vector products. It is of interest in various fields of application, such as network science, material science and machine learning. LÄS MER