Sökning: "Binary tree"

Visar resultat 1 - 5 av 52 uppsatser innehållade orden Binary tree.

  1. 1. Predicting Myocardial Injury After Noncardiac Surgery

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Giordano Cauli; [2023]
    Nyckelord :Myocardial injury; hypotension; machine learning; non-cardiac surgery; F1; Myokardiell skada; hypotension; maskininlärning; icke-kardiell kirurgi; F1;

    Sammanfattning : Myocardial injury is the leading cause of death in Europe following non-cardiac surgery. Its causes, diagnosis, and treatment are still under investigation by the scientific community. Some research groups have hypothesized a connection between myocardial injury and hypotension during surgery. LÄS MER

  3. 2. Scalable Nonparametric L1 Density Estimation via Sparse Subtree Partitioning

    Master-uppsats, Uppsala universitet/Statistik, AI och data science

    Författare :Axel Sandstedt; [2023]
    Nyckelord :density estimation; scalable density estimation; nonparametric density estimation; scalable nonparametric density estimation; L1; L_1; anomaly detection; regression analysis;

    Sammanfattning : We consider the construction of multivariate histogram estimators for any density f seeking to minimize its L1 distance to the true underlying density using arbitrarily large sample sizes. Theory for such estimators exist and the early stages of distributed implementations are available. LÄS MER

  4. 3. EDPM : An extension of EDPM - an embedded domain-specific language for performance monitoring C and C++ programs

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

    Författare :David Bosnjak; [2023]
    Nyckelord :EDPM; Dynamic Nesting; PAPI; LLVM; Libtooling; EDPM; Dynamisk Nestning; PAPI; LLVM; Libtooling;

    Sammanfattning : Background. Performance monitoring of C/C++ programs has often been a tedious and straining process, where insufficient and complex tools/APIs are required. Performance monitoring tools and APIs tend to focus on ease of use or flexibility, but rarely both. LÄS MER

  5. 4. Effectivisation of keywords extraction process : A supervised binary classification approach of scraped words from company websites

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

    Författare :Josef Andersson; Max Fremling; [2023]
    Nyckelord :Machine learning; keyword classification; unbalanced data; word embedding;

    Sammanfattning : In today’s digital era, establishing an online presence and maintaining a well-structured website is vitalfor companies to remain competitive in their respective markets. A crucial aspect of online success liesin strategically selecting the right words to optimize customer engagement and search engine visibility. LÄS MER

  7. 5. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

    Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Levi Jan Zuiverloon; [2023]
    Nyckelord :Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

    Sammanfattning : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. LÄS MER