Essays about: "Gaussian mixture model"

Showing result 1 - 5 of 77 essays containing the words Gaussian mixture model.

1. 1. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Lukas Tonneman; [2023]
   Keywords : time-series analysis; clustering; electricity consumer clustering; anomaly detection; gaussian mixture model; hierarchical clustering;

   Abstract : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. READ MORE

3. 2. Regression with Bayesian Confidence Propagating Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Raghav Rajendran Bongole; [2023]
   Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

   Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE

4. 3. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

   University essay from Lunds universitet/Matematisk statistik

   Author : Alexander Magnusson; Anton Andersson; [2023]
   Keywords : Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

   Abstract : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. READ MORE

5. 4. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Diogo Antunes; [2023]
   Keywords : Robust state estimation; Underwater localization; Target tracking; Gaussian mixture; AUV; Estimação robusta de estado; Localização subaquática; Rastreamento de alvos; Mistura Gaussiana; AUV; Robust tillståndsuppskattning; Undervattenslokalisering; Målspårning; Gaussisk blandning; AUV;

   Abstract : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. READ MORE

6. 5. A Bandit Approach to Indirect Inference

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Erik Ildring; Felix Steinberger Eriksson; [2023]
   Keywords : ;

   Abstract : We present a novel approach to the family of parameter estimation methods known asindirect inference (II), using results from bandit optimization, a sub-field of reinforcementlearning concerned with stateless Markov decision processes (MDPs). First, we present theproblem of indirect inference and show how it may be cast into the general framework ofMDPs. READ MORE