Essays about: "Bayesiansk Modell"

Showing result 1 - 5 of 20 essays containing the words Bayesiansk Modell.

1. 1. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning

   University essay from KTH/Matematik (Avd.)

   Author : Mattias Martinsen; [2023]
   Keywords : Wavelet; Regression; Bayesian network; Prediction; Patent; Machine Learning; Wavelet; Regression; Bayesiskt nätverk; Predicering; Patent; Maskininlärning;

   Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE

3. 2. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions

   University essay from KTH/Matematik (Avd.)

   Author : Giorgio Sacchi; [2023]
   Keywords : Explainable AI; Counterfactual Explanations CFEs ; Bayesian Optimization BO ; Black-Box Models; Model-Agnostic; Machine Learning ML ; Efficient Computation; High-Stake Decisions; Förklarbar AI; Kontrafaktuell Förklaring CFE ; Bayesiansk Optimering BO ; Svarta lådmodeller; Modellagnostisk; Maskininlärning; Beräkningsmässigt Effektiv; Beslut med höga insatser;

   Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE

4. 3. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty

   University essay from KTH/Matematisk statistik

   Author : Ricky Molén; [2023]
   Keywords : Phylogeny; Bayesian analysis; Markov chain Monte Carlo; Variational inference; Mixture of proposal distributions; Fylogeni; Bayesiansk analys; Markov Chain Monte Carlo; Variationsinferens; Mixturer av förslagsfördelningar;

   Abstract : 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. READ MORE

5. 4. EVOKED PHASE COHERENCE AS A BIOMARKER FOR ADAPTIVE NEUROMODULATION IN RAT MODEL OF PARKINSON'S DISEASE

   University essay from Umeå universitet/Institutionen för psykologi

   Author : Love Zackrisson; [2023]
   Keywords : Adaptive; Closed Loop; Neuromodulation; Parkinson’s Disease; Rat model; 6-OHDA; ITC; Phase Coherence; Bayesian Model; Classifier; Spinal Cord Stimulation; Deep Brain Stimulation.; Adaptiv; Closed Loop; Neuromodulation; Parkinson’s Sjukdom; Råttmodell; 6-OHDA; ITC; Faskoherens; Bayesiansk Modell; Klassificerare; Ryggradsstimulering; Djup Hjärnstimulering.;

   Abstract : Neuromodulation, such as spinal cord stimulation (SCS) and deep brain stimulation (DBS), has been shown to modulate pathophysiological brain activity and provide symptomatic therapy for several neurological disorders, including Parkinson’s Disease. The effectiveness of this therapy could likely be further improved by neuromodulation that is adaptive, delivering stimulation more selectively, by monitoring a biomarker in recorded brain signals, which indicates the presence of a pathological state. READ MORE

6. 5. Optimization and Bayesian Modeling of Road Distance for Inventory of Potholes in Gävle Municipality

   University essay from Stockholms universitet/Statistiska institutionen

   Author : Timothy Rafael Lindblom; Oskar Tollin; [2022]
   Keywords : Traveling salesman problem; Bayesian inference; Simulated annealing; Nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; Potholes; Haversine formula; Metropolis-Hastings; Posterior predictive distribution; Handelsresande problemet; bayesiansk inferens; simulerad anlöpning; nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; potthål; storcirkelavstånd; Metropolis-Hastings; posterior predictive distribution;

   Abstract : Time management and distance evaluation have long been a difficult task for workers and companies. This thesis studies 6712 pothole coordinates in Gävle municipality, and evaluates the minimal total road distance needed to visit each pothole once, and return to an initial pothole. READ MORE