Sökning: "classification bases"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden classification bases.

  1. 1. Classification of almost monomial subalgebras of small codimension

    Kandidat-uppsats, Lunds universitet/Matematik LTH; Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/Matematikcentrum

    Författare :Ludvig Sundell; [2023]
    Nyckelord :Algebra; Subalgebra; Polynomial; SAGBI basis; LAGBI basis; Lower semigroup; Mathematics and Statistics;

    Sammanfattning : In this text, we study almost monomial subalgebras using LAGBI bases. We introduce the concept of a LAGBI base and present an algorithm for computing them. We then use this algorithm to find, and present in a table, all polynomial subalgebras with Frobenius number smaller than or equal to ten. 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. Artikelklassificering som en förutsättning för operativ lagerstyrning : En fallstudie om förbättringsmöjlighet på Alutrade

    Magister-uppsats, Linnéuniversitetet/Institutionen för management (MAN)

    Författare :Anton Olsson; Maja Jönsson; [2023]
    Nyckelord :Inventory; operational inventory control; differentiated inventory control; inventory turnover rate; classification bases; order time; order quantity; safety stock; service level; ABC-XYZ analysis; Lager; operativ lagerstyrning; differentierad lagerstyrning; lageromsättningshastighet; klassificeringsgrunder; ordertidpunkt; orderkvantitet; säkerhetslager; servicenivå; ABC-XYZ analys;

    Sammanfattning : Background: Inventory control is a complex challenge that affects various activities on howinventory is controlled and managed. The management of inventory has a major impact on acompany's profitability and needs to be handled in different ways depending on the situationthe company is operating in. LÄS MER

  5. 4. Automated HER2 Scoring of Breast Cancer Tissue using Upconverting Nanoparticle Images

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Adam Belfrage; Alexander Wik; [2022]
    Nyckelord :HER2-scoring; image analysis; interpretability; digital pathology; computer aided pathology; whole slide imaging; ASCO-guidelines; singular value decomposition; shape models; Bayesian classification; Biology and Life Sciences; Medicine and Health Sciences; Technology and Engineering; Mathematics and Statistics;

    Sammanfattning : Computer aided pathology is becoming more and more of a requirement within pathology due to increased demand of individualised treatments and personalised medicine. Because of the advance of digital pathology in recent years, where a high resolution camera acquire images of microscope slides, pathologists can now assess tissue samples in digital images. LÄS MER

  7. 5. Comparison of Logistic Regression and an Explained Random Forest in the Domain of Creditworthiness Assessment

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

    Författare :Marcus Ankaräng; Jakob Kristiansson; [2021]
    Nyckelord :Classification; Creditworthiness; Explainable Artificial Intelligence; Logistic Regression; Machine Learning; Random Forest; SHAP; XAI;

    Sammanfattning : As the use of AI in society is developing, the requirement of explainable algorithms has increased. A challenge with many modern machine learning algorithms is that they, due to their often complex structures, lack the ability to produce human-interpretable explanations. LÄS MER