Sökning: "multiple discriminant analysis"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden multiple discriminant analysis.

1. 1. Laser Ablation in Magnetites; Unravelling the Signatures of Trace Element Patterns for Ore Petrogenesis : Trace element signatures of magnetite linked to metallogenesis of iron mineralizations of the Kiruna type

   Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Siôn Kinson; [2020]
   Nyckelord :EPMA; LA-ICPMS; petrogenesis; magnetite; orthomagmatic; igneous; hydrothermal; alteration; EPMA; LA-ICPMS; petrogenes; magnetit; ortomagmatisk; stollande; hydrotermisk; förändring;

   Sammanfattning : Trace element analyses of magnetite samples from multiple ore deposits worldwide have recently been conducted, using both EPMA and LA-ICPMS, in order to try and understand the petrogenesis of Kiruna-type ore deposits. Here I employ literature data and new data from Kiruna and Grängesberg (Sweden) to help constrain and visualise evolutionary trends recorded by our samples and derive an overall model for the evolutionary processes that lead to Kiruna-type deposits. LÄS MER

3. 2. Mot robust cross-subject klassificering av electroencephalogram (EEG) baserad brain-computer interfacing (BCI):En genomförbarhetsstudie

   Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Shuai Wu; [2019]
   Nyckelord :;

   Sammanfattning : Brain-computer interface(BCI) är ett system där man kan skicka kommandon till dator med bara hjärnaktivitet. En sådan system är viktigt för människor lider av flera motorisk funktionshinder, då maskinen skulle kunna förbättra patienters liv genom att uppfylla deras behov. LÄS MER

4. 3. Visualization and Classification of Neurological Status with Tensor Decomposition and Machine Learning

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Thi Pham; [2019]
   Nyckelord :Stress assessment; physiological signals; biosensors; tensor decomposition; feature visualization; machine learning;

   Sammanfattning : Recognition of physical and mental responses to stress is important for stress assessment and management as its negative effects in health can be prevented or reduced. Wearable technology, mainly using electroencephalogram (EEG), provides information such as tracking fitness activity, disease detection, and monitoring neurologicalstates of individuals. LÄS MER

5. 4. Investigating Metrics that are Good Predictors of Human Oracle Costs An Experiment

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :chilla Kartheek arun sai ram; Chelluboina Kavya; [2017]
   Nyckelord :Test data generation; comprehensibility of test data; software test data metrics; software code metrics; multiple regression analysis; linear discriminant analysis.;

   Sammanfattning : Context. Human oracle cost, the cost associated in estimating the correctness of the output for the given test inputs is manually evaluated by humans and this cost is significant and is a concern in the software test data generation field. This study has been designed in the context to assess metrics that might predict human oracle cost. LÄS MER

7. 5. Predicting Corporate Credit Ratings withMachine Learning Algorithms

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Ola Berger Bungum; [2017]
   Nyckelord :Credit ratings; machine learning; rating agencies; credit risk;

   Sammanfattning : This thesis investigates the performance of machine learning models in predicting long-term issuer credit ratings, relative to the that of traditional statistical modeling approaches. Our dataset consists of 3,992 ratings by S&P, Moody's and Fitch of American non-financial, non-governmental companies, in the period 1 January 2010 through 1 September 2016. LÄS MER