Sökning: "Maximum Likelihood Classifier"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Maximum Likelihood Classifier.

1. 1. The Impact of Noise on Generative and Discriminative Image Classifiers

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Maximilian Stenlund; Valdemar Jakobsson; [2022]
   Nyckelord :Artificial intelligence; Adversarial noise; Discriminative; Generative; Salt and Pepper noise; Gaussian noise; neural networks; Normalized flows; Convolutional networks;

   Sammanfattning : This report analyzes the difference between discriminative and generative image classifiers when tested on noise. The generative classifier was a maximum-likelihood based classifier using a normalizing flow as the generative model. In this work, a coupling flow such as RealNVP was used. LÄS MER

3. 2. Rating corrumption within insurance companies using Bayesian network classifiers

   Magister-uppsats, Umeå universitet/Statistik

   Författare :Oscar Öhman; [2019]
   Nyckelord :;

   Sammanfattning : Bayesian Network (BN) classifiers are a type of probabilistic models. The learning process consists of two steps, structure learning and parameter learning. Four BN classifiers will be learned. These are two different Naive Bayes classifiers (NB), one Tree Augmented Naive Bayes classifier (TAN) and one Forest Naive Bayes classifier (FAN). LÄS MER

4. 3. Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Linnea Jonsson; [2015]
   Nyckelord :support vector machine; maximum likelihood; SPOT-5; classification; geography; physical geography; RBF-kernel; OBIA; multiresolution segmentation; Earth and Environmental Sciences;

   Sammanfattning : In the state of Acre, Brazil, there is ongoing land use change, where inhabitants of this part of the Amazonian rainforest practice shifting agriculture. Practicing this type of agriculture is, according to the SKY Rainforest Rescue organization, damaging to forest ecosystems. LÄS MER

5. 4. Lifetime Analysis of Automotive Batteries usingRandom Forests and Cox Regression

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :JOHANNA ROSENVINGE; [2013]
   Nyckelord :;

   Sammanfattning : Worn out batteries is a frequent cause of unplanned immobilization of trucks, causing disrupted operations for haulage contractors. To avoid unplanned maintenance, it is desirable to accurately estimate the battery lifetime to perform preventive replacements before the components fail. LÄS MER

7. 5. Mapping wetland areas on forested landsacpes using Radarasat-2 and Landsat-5 TM data

   Master-uppsats, SLU/Dept. of Forest Resource Management

   Författare :Jennifer Martin; [2012]
   Nyckelord :Radarsat; Landsat; wetlands; classification; land cover; multi-soruce data; remote sensing; Random Forests; Maximum Likelihood Classifier;

   Sammanfattning : Wetlands are an important ecosystem for many vital functions such as groundwater recharge, flood control, water quality improvement, and to mitigate erosion. Monitoring and mapping wetlands on a large scale is becoming increasingly more important, and satellite remote sensing provides a practical approach. LÄS MER