Sökning: "Cluster Labels"

Visar resultat 1 - 5 av 24 uppsatser innehållade orden Cluster Labels.

1. 1. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior

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

   Författare :August Söderlund; [2023]
   Nyckelord :Data-driven reachability analysis; Autonomous vehicles; Automated safety; Autonomous situational awareness; Datadriven nåbarhetsanalys; Autonoma fordon; Automatiserad säkerhet; Autonom situationsmedvetenhet;

   Sammanfattning : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. LÄS MER

3. 2. Recommendation System for Insurance Policies : An Investigation of Unsupervised and Supervised Learning Techniques

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Andreas Palmgren; [2023]
   Nyckelord :Recommendation System; Car Insurance; Machine Learning; Cluster Analysis; KNN; XGBoost; Neural Network;

   Sammanfattning : Recommendation systems have significantly influenced user experiences across various industries, yet their application in the insurance sector remains relatively unexplored. This thesis focuses on developing a car insurance recommendation system that implements a `consumers like you' feature. LÄS MER

4. 3. Advancing Keyword Clustering Techniques: A Comparative Exploration of Supervised and Unsupervised Methods : Investigating the Effectiveness and Performance of Supervised and Unsupervised Methods with Sentence Embeddings

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

   Författare :Filippo Caliò; [2023]
   Nyckelord :Keyword Clustering; Supervised Learning; Unsupervised Learning; Cluster Labels; Natural Language Processing; Sentence Embeddings; Nyckelord Klustring; övervakad inlärning; oövervakad inlärning; klustermärkning; naturlig språkbehandling; Inbäddning av meningar;

   Sammanfattning : Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their customers are interested in. LÄS MER

5. 4. Radio Environment Classification

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Daniel Hagström; [2023]
   Nyckelord :;

   Sammanfattning : This thesis has looked into the possibility of classifying radio environment scenarios based on data received in base stations. It was done in order to improve forecasting of electrical output in these base stations. LÄS MER

7. 5. Classifying Electricity Tower Image Data with Unsupervised Curriculum Learning

   Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Jacob Wedin; [2022]
   Nyckelord :;

   Sammanfattning : The core objective of this thesis is to classify a set of aerial photographs into two categories, those containing an electricity tower and those not containing an electricity tower. While supervised deep learning methods can reach excellent results on such tasks, they require large amounts of labeled data. LÄS MER