Sökning: "F1-värde"

Visar resultat 1 - 5 av 14 uppsatser innehållade ordet F1-värde.

1. 1. Comparing machine learning algorithms for detecting behavioural anomalies

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Fredrik Jansson; [2023]
   Nyckelord :Anomaly Detection; Machine Learning; Behavioural Anomalies;

   Sammanfattning : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. LÄS MER

3. 2. Exploring GPT models as biomedical knowledge bases : By evaluating prompt methods for extracting information from language models pre-trained on scientific articles

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

   Författare :Ebba Hellberg; [2023]
   Nyckelord :Language model; GPT; knowledge probing; information extraction; prompt methods; Språkmodell; GPT; kunskapsbas; informationsextraktion; prompt-metoder;

   Sammanfattning : Scientific findings recorded in literature help continuously guide scientific advancements, but manual approaches to accessing that knowledge are insufficient due to the sheer quantity of information and data available. Although pre-trained language models are being explored for their utility as knowledge bases and structured data repositories, there is a lack of research for this application in the biomedical domain. LÄS MER

4. 3. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

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

   Författare :Luciano Zapata; [2023]
   Nyckelord :Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

   Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER

5. 4. Feasibility study of initial orbit determination with open astronomical data

   Master-uppsats, KTH/Fysik

   Författare :Linn Mattsson; [2022]
   Nyckelord :Space situational awareness; Space surveillance and tracking; Image analyse; Streak detection algorithm; Initial orbit determination; Rymdlägesbild; Bildanalys; Algoritm för streck detektering; Initial banbestämning;

   Sammanfattning : In this report I present a feasibility study of using open astronomical data to make Initial Orbit Determination (IOD) for Resident Space Objects (RSO) appearing as streaks in telescope images. The purpose is to contribute to Space Surveillance and Tracking (SST) for maintaining Space Situation Awareness (SSA). LÄS MER

7. 5. A Review of Anomaly Detection Techniques forHeterogeneous Datasets

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Shirwan Piroti; [2021]
   Nyckelord :Anomaly Detection; Heterogeneous; GAN; BiGAN; Autoencoder; Random Forest; Isolation Forest; Anomalidetektering; Heterogen; GAN; BiGAN; Autoencoder; Random Forest; Isolation Forest;

   Sammanfattning : Anomaly detection is a field of study that is closely associated with machine learning and it is the process of finding irregularities in datasets. Developing and maintaining multiple machine learning models for anomaly detection takes time and can be an expensive task. One proposed solution is to combine all datasets and create a single model. LÄS MER