Essays about: "Binary tree"

Showing result 1 - 5 of 51 essays containing the words Binary tree.

  1. 1. Predicting Myocardial Injury After Noncardiac Surgery

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

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

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Statistik, AI och data science

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

    Abstract : 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. READ MORE

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

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : David Bosnjak; [2023]
    Keywords : EDPM; Dynamic Nesting; PAPI; LLVM; Libtooling; EDPM; Dynamisk Nestning; PAPI; LLVM; Libtooling;

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Levi Jan Zuiverloon; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE