Essays about: "benchmark problem"

Showing result 1 - 5 of 219 essays containing the words benchmark problem.

  1. 1. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Laura Galera Alfaro; [2023]
    Keywords : Explainable Artificial Intelligence; Learning To Rank; Local ModelAgnostic Interpretability; Ranking Generalized Additive Models;

    Abstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE

  3. 2. Analyzing the performance of active learning strategies on machine learning problems

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Vendela Werner; [2023]
    Keywords : computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

    Abstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE

  4. 3. Few-Shot Learning for Quality Inspection

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jesper Palmér; Ahmad Alsalehy; [2023]
    Keywords : Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

    Abstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE

  5. 4. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks

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

    Author : Eddie Nevander Hellström; Johan Slettengren; [2023]
    Keywords : ;

    Abstract : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. READ MORE

  6. 5. MANGO - Generating 2D-Magnetic Field Maps From Normal-Conducting Magnets Of Experimental Areas

    University essay from KTH/Fysik

    Author : Ambre Visive; [2023]
    Keywords : Applied Physics; Particle Physics; MANGO; Magnetic Field Maps; Normal-Conducting Magnets; Finite-Element Modelling; Opera-2D; Git Repository; Python Package; Beam Lines; Experimental Areas; CERN; Tillämpad Fysik; Partikelfysik; MANGO; Magnetfältskartor; Normalkonduktiva Elektromagneter; Finit Elementmodellering; Opera-2D; Git Repository; Python Package; Partikelstrållinje; Experimentområden; CERN;

    Abstract : This thesis discusses the development of MANGO, a tool created to model normal-conducting magnets which were installed in the 1970s in the experimental areas at CERN, and store their analysis. MANGO formulates an answer to two problems faced by the physicists of the Beam Department when they model a beam line: first, how to produce new magnetic field maps and, second, how to easily access existing ones? It contains a multi-use package that offers an automated process to produce magnetic field maps from finite-element models of magnets. READ MORE